In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
Since translating the whole language of English to French will take lots of time to train, we have provided you with a small portion of the English corpus.
In [1]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
import problem_unittests as tests
source_path = 'data/small_vocab_en'
target_path = 'data/small_vocab_fr'
source_text = helper.load_data(source_path)
target_text = helper.load_data(target_path)
In [2]:
view_sentence_range = (0, 10)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
print('Dataset Stats')
print('Roughly the number of unique words: {}'.format(len({word: None for word in source_text.split()})))
sentences = source_text.split('\n')
word_counts = [len(sentence.split()) for sentence in sentences]
print('Number of sentences: {}'.format(len(sentences)))
print('Average number of words in a sentence: {}'.format(np.average(word_counts)))
print()
print('English sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(source_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))
print()
print('French sentences {} to {}:'.format(*view_sentence_range))
print('\n'.join(target_text.split('\n')[view_sentence_range[0]:view_sentence_range[1]]))
Dataset Stats
Roughly the number of unique words: 227
Number of sentences: 137861
Average number of words in a sentence: 13.225277634719028
English sentences 0 to 10:
new jersey is sometimes quiet during autumn , and it is snowy in april .
the united states is usually chilly during july , and it is usually freezing in november .
california is usually quiet during march , and it is usually hot in june .
the united states is sometimes mild during june , and it is cold in september .
your least liked fruit is the grape , but my least liked is the apple .
his favorite fruit is the orange , but my favorite is the grape .
paris is relaxing during december , but it is usually chilly in july .
new jersey is busy during spring , and it is never hot in march .
our least liked fruit is the lemon , but my least liked is the grape .
the united states is sometimes busy during january , and it is sometimes warm in november .
French sentences 0 to 10:
new jersey est parfois calme pendant l' automne , et il est neigeux en avril .
les états-unis est généralement froid en juillet , et il gèle habituellement en novembre .
california est généralement calme en mars , et il est généralement chaud en juin .
les états-unis est parfois légère en juin , et il fait froid en septembre .
votre moins aimé fruit est le raisin , mais mon moins aimé est la pomme .
son fruit préféré est l'orange , mais mon préféré est le raisin .
paris est relaxant en décembre , mais il est généralement froid en juillet .
new jersey est occupé au printemps , et il est jamais chaude en mars .
notre fruit est moins aimé le citron , mais mon moins aimé est le raisin .
les états-unis est parfois occupé en janvier , et il est parfois chaud en novembre .
As you did with other RNNs, you must turn the text into a number so the computer can understand it. In the function text_to_ids(), you'll turn source_text and target_text from words to ids. However, you need to add the <EOS> word id at the end of each sentence from target_text. This will help the neural network predict when the sentence should end.
You can get the <EOS> word id by doing:
target_vocab_to_int['<EOS>']
You can get other word ids using source_vocab_to_int and target_vocab_to_int.
In [3]:
def text_to_ids(source_text, target_text, source_vocab_to_int, target_vocab_to_int):
"""
Convert source and target text to proper word ids
:param source_text: String that contains all the source text.
:param target_text: String that contains all the target text.
:param source_vocab_to_int: Dictionary to go from the source words to an id
:param target_vocab_to_int: Dictionary to go from the target words to an id
:return: A tuple of lists (source_id_text, target_id_text)
"""
source = source_text.split('\n')
target = [sentance + ' <EOS>' for sentance in target_text.split('\n')]
source_ids = [[source_vocab_to_int[word] for word in line.split()] for line in source]
target_ids = [[target_vocab_to_int[word] for word in line.split()] for line in target]
return (source_ids, target_ids)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_text_to_ids(text_to_ids)
Tests Passed
In [4]:
"""
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"""
helper.preprocess_and_save_data(source_path, target_path, text_to_ids)
In [5]:
"""
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"""
import numpy as np
import helper
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
In [6]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) in [LooseVersion('1.0.0'), LooseVersion('1.0.1')], 'This project requires TensorFlow version 1.0 You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0
You'll build the components necessary to build a Sequence-to-Sequence model by implementing the following functions below:
model_inputsprocess_decoding_inputencoding_layerdecoding_layer_traindecoding_layer_inferdecoding_layerseq2seq_modelImplement the model_inputs() function to create TF Placeholders for the Neural Network. It should create the following placeholders:
Return the placeholders in the following the tuple (Input, Targets, Learing Rate, Keep Probability)
In [7]:
def model_inputs():
"""
Create TF Placeholders for input, targets, and learning rate.
:return: Tuple (input, targets, learning rate, keep probability)
"""
inputs = tf.placeholder(tf.int32, (None, None), name='input')
targets = tf.placeholder(tf.int32, (None, None), name='targets')
learning_rate = tf.placeholder(tf.float32, name='learning_rate')
keep_prob = tf.placeholder(tf.float32, name='keep_prob')
return (inputs, targets, learning_rate, keep_prob)
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
In [8]:
def process_decoding_input(target_data, target_vocab_to_int, batch_size):
"""
Preprocess target data for dencoding
:param target_data: Target Placehoder
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param batch_size: Batch Size
:return: Preprocessed target data
"""
go_id = target_vocab_to_int['<GO>']
ends = tf.strided_slice(target_data, [0,0], [batch_size, -1], [1,1])
preprocessed_target_data = tf.concat([tf.fill([batch_size, 1], go_id), ends], 1)
return preprocessed_target_data
"""
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"""
tests.test_process_decoding_input(process_decoding_input)
Tests Passed
Implement encoding_layer() to create a Encoder RNN layer using tf.nn.dynamic_rnn().
In [9]:
def encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob):
"""
Create encoding layer
:param rnn_inputs: Inputs for the RNN
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param keep_prob: Dropout keep probability
:return: RNN state
"""
lstm = tf.contrib.rnn.BasicLSTMCell(num_units=rnn_size)
drop = tf.contrib.rnn.DropoutWrapper(lstm, output_keep_prob=keep_prob)
cell = tf.contrib.rnn.MultiRNNCell([drop] * num_layers)
_, enc_state = tf.nn.dynamic_rnn(cell, rnn_inputs, dtype=tf.float32)
return enc_state
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_encoding_layer(encoding_layer)
Tests Passed
Create training logits using tf.contrib.seq2seq.simple_decoder_fn_train() and tf.contrib.seq2seq.dynamic_rnn_decoder(). Apply the output_fn to the tf.contrib.seq2seq.dynamic_rnn_decoder() outputs.
In [10]:
def decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope,
output_fn, keep_prob):
"""
Create a decoding layer for training
:param encoder_state: Encoder State
:param dec_cell: Decoder RNN Cell
:param dec_embed_input: Decoder embedded input
:param sequence_length: Sequence Length
:param decoding_scope: TenorFlow Variable Scope for decoding
:param output_fn: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: Train Logits
"""
train_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_train(encoder_state)
train_pred, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(
dec_cell, train_decoder_fn, dec_embed_input, sequence_length, scope=decoding_scope)
train_logits = output_fn(train_pred)
return train_logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_train(decoding_layer_train)
Tests Passed
Create inference logits using tf.contrib.seq2seq.simple_decoder_fn_inference() and tf.contrib.seq2seq.dynamic_rnn_decoder().
In [11]:
def decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id,
maximum_length, vocab_size, decoding_scope, output_fn, keep_prob):
"""
Create a decoding layer for inference
:param encoder_state: Encoder state
:param dec_cell: Decoder RNN Cell
:param dec_embeddings: Decoder embeddings
:param start_of_sequence_id: GO ID
:param end_of_sequence_id: EOS Id
:param maximum_length: The maximum allowed time steps to decode
:param vocab_size: Size of vocabulary
:param decoding_scope: TensorFlow Variable Scope for decoding
:param output_fn: Function to apply the output layer
:param keep_prob: Dropout keep probability
:return: Inference Logits
"""
infer_decoder_fn = tf.contrib.seq2seq.simple_decoder_fn_inference(
output_fn, encoder_state, dec_embeddings, start_of_sequence_id, end_of_sequence_id,
maximum_length, vocab_size)
inference_logits, _, _ = tf.contrib.seq2seq.dynamic_rnn_decoder(dec_cell, infer_decoder_fn, scope=decoding_scope)
return inference_logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer_infer(decoding_layer_infer)
Tests Passed
Implement decoding_layer() to create a Decoder RNN layer.
rnn_size and num_layers.lambda to transform it's input, logits, to class logits.decoding_layer_train(encoder_state, dec_cell, dec_embed_input, sequence_length, decoding_scope, output_fn, keep_prob) function to get the training logits.decoding_layer_infer(encoder_state, dec_cell, dec_embeddings, start_of_sequence_id, end_of_sequence_id, maximum_length, vocab_size, decoding_scope, output_fn, keep_prob) function to get the inference logits.Note: You'll need to use tf.variable_scope to share variables between training and inference.
In [12]:
def decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size,
num_layers, target_vocab_to_int, keep_prob):
"""
Create decoding layer
:param dec_embed_input: Decoder embedded input
:param dec_embeddings: Decoder embeddings
:param encoder_state: The encoded state
:param vocab_size: Size of vocabulary
:param sequence_length: Sequence Length
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:param keep_prob: Dropout keep probability
:return: Tuple of (Training Logits, Inference Logits)
"""
go_id = target_vocab_to_int['<GO>']
eos_id = target_vocab_to_int['<EOS>']
with tf.variable_scope("decoding") as decoding_scope:
output_fn = lambda x: tf.contrib.layers.fully_connected(x, vocab_size, None, scope=decoding_scope)
lstm = tf.contrib.rnn.BasicLSTMCell(num_units=rnn_size)
drop = tf.contrib.rnn.DropoutWrapper(lstm, output_keep_prob=keep_prob)
cell_train = tf.contrib.rnn.MultiRNNCell([drop] * num_layers)
cell_infer = tf.contrib.rnn.MultiRNNCell([lstm] * num_layers)
train_logits = decoding_layer_train(encoder_state, cell_train, dec_embed_input, sequence_length,
decoding_scope, output_fn, keep_prob)
decoding_scope.reuse_variables()
infer_logits = decoding_layer_infer(encoder_state, cell_infer, dec_embeddings,
go_id, eos_id, sequence_length, vocab_size, decoding_scope, output_fn, keep_prob)
return train_logits, infer_logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_decoding_layer(decoding_layer)
Tests Passed
Apply the functions you implemented above to:
encoding_layer(rnn_inputs, rnn_size, num_layers, keep_prob).process_decoding_input(target_data, target_vocab_to_int, batch_size) function.decoding_layer(dec_embed_input, dec_embeddings, encoder_state, vocab_size, sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob).
In [13]:
def seq2seq_model(input_data, target_data, keep_prob, batch_size, sequence_length, source_vocab_size, target_vocab_size,
enc_embedding_size, dec_embedding_size, rnn_size, num_layers, target_vocab_to_int):
"""
Build the Sequence-to-Sequence part of the neural network
:param input_data: Input placeholder
:param target_data: Target placeholder
:param keep_prob: Dropout keep probability placeholder
:param batch_size: Batch Size
:param sequence_length: Sequence Length
:param source_vocab_size: Source vocabulary size
:param target_vocab_size: Target vocabulary size
:param enc_embedding_size: Decoder embedding size
:param dec_embedding_size: Encoder embedding size
:param rnn_size: RNN Size
:param num_layers: Number of layers
:param target_vocab_to_int: Dictionary to go from the target words to an id
:return: Tuple of (Training Logits, Inference Logits)
"""
enc_embed_input = tf.contrib.layers.embed_sequence(input_data, source_vocab_size, enc_embedding_size)
enc_state = encoding_layer(enc_embed_input, rnn_size, num_layers, keep_prob)
dec_input = process_decoding_input(target_data, target_vocab_to_int, batch_size)
dec_embeddings = tf.Variable(tf.random_uniform([target_vocab_size, dec_embedding_size]))
dec_embed_input = tf.nn.embedding_lookup(dec_embeddings, dec_input)
train_logits, infer_logits = decoding_layer(dec_embed_input, dec_embeddings, enc_state,
target_vocab_size, sequence_length, rnn_size, num_layers, target_vocab_to_int, keep_prob)
return train_logits, infer_logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_seq2seq_model(seq2seq_model)
Tests Passed
Tune the following parameters:
epochs to the number of epochs.batch_size to the batch size.rnn_size to the size of the RNNs.num_layers to the number of layers.encoding_embedding_size to the size of the embedding for the encoder.decoding_embedding_size to the size of the embedding for the decoder.learning_rate to the learning rate.keep_probability to the Dropout keep probability
In [14]:
# Number of Epochs
epochs = 3
# Batch Size
batch_size = 256
# RNN Size
rnn_size = 512
# Number of Layers
num_layers = 2
# Embedding Size
encoding_embedding_size = 196
decoding_embedding_size = 196
# Learning Rate
learning_rate = .0015
# Dropout Keep Probability
keep_probability = .75
In [15]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
save_path = 'checkpoints/dev'
(source_int_text, target_int_text), (source_vocab_to_int, target_vocab_to_int), _ = helper.load_preprocess()
max_source_sentence_length = max([len(sentence) for sentence in source_int_text])
train_graph = tf.Graph()
with train_graph.as_default():
input_data, targets, lr, keep_prob = model_inputs()
sequence_length = tf.placeholder_with_default(max_source_sentence_length, None, name='sequence_length')
input_shape = tf.shape(input_data)
train_logits, inference_logits = seq2seq_model(
tf.reverse(input_data, [-1]), targets, keep_prob, batch_size, sequence_length, len(source_vocab_to_int), len(target_vocab_to_int),
encoding_embedding_size, decoding_embedding_size, rnn_size, num_layers, target_vocab_to_int)
tf.identity(inference_logits, 'logits')
with tf.name_scope("optimization"):
# Loss function
cost = tf.contrib.seq2seq.sequence_loss(
train_logits,
targets,
tf.ones([input_shape[0], sequence_length]))
# Optimizer
optimizer = tf.train.AdamOptimizer(lr)
# Gradient Clipping
gradients = optimizer.compute_gradients(cost)
capped_gradients = [(tf.clip_by_value(grad, -1., 1.), var) for grad, var in gradients if grad is not None]
train_op = optimizer.apply_gradients(capped_gradients)
In [16]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import time
def get_accuracy(target, logits):
"""
Calculate accuracy
"""
max_seq = max(target.shape[1], logits.shape[1])
if max_seq - target.shape[1]:
target = np.pad(
target,
[(0,0),(0,max_seq - target.shape[1])],
'constant')
if max_seq - logits.shape[1]:
logits = np.pad(
logits,
[(0,0),(0,max_seq - logits.shape[1]), (0,0)],
'constant')
return np.mean(np.equal(target, np.argmax(logits, 2)))
train_source = source_int_text[batch_size:]
train_target = target_int_text[batch_size:]
valid_source = helper.pad_sentence_batch(source_int_text[:batch_size])
valid_target = helper.pad_sentence_batch(target_int_text[:batch_size])
with tf.Session(graph=train_graph) as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epochs):
for batch_i, (source_batch, target_batch) in enumerate(
helper.batch_data(train_source, train_target, batch_size)):
start_time = time.time()
_, loss = sess.run(
[train_op, cost],
{input_data: source_batch,
targets: target_batch,
lr: learning_rate,
sequence_length: target_batch.shape[1],
keep_prob: keep_probability})
batch_train_logits = sess.run(
inference_logits,
{input_data: source_batch, keep_prob: 1.0})
batch_valid_logits = sess.run(
inference_logits,
{input_data: valid_source, keep_prob: 1.0})
train_acc = get_accuracy(target_batch, batch_train_logits)
valid_acc = get_accuracy(np.array(valid_target), batch_valid_logits)
end_time = time.time()
print('Epoch {:>3} Batch {:>4}/{} - Train Accuracy: {:>6.3f}, Validation Accuracy: {:>6.3f}, Loss: {:>6.3f}'
.format(epoch_i, batch_i, len(source_int_text) // batch_size, train_acc, valid_acc, loss))
# Save Model
saver = tf.train.Saver()
saver.save(sess, save_path)
print('Model Trained and Saved')
Epoch 0 Batch 0/538 - Train Accuracy: 0.234, Validation Accuracy: 0.316, Loss: 5.926
Epoch 0 Batch 1/538 - Train Accuracy: 0.231, Validation Accuracy: 0.316, Loss: 4.836
Epoch 0 Batch 2/538 - Train Accuracy: 0.267, Validation Accuracy: 0.331, Loss: 5.346
Epoch 0 Batch 3/538 - Train Accuracy: 0.265, Validation Accuracy: 0.347, Loss: 4.296
Epoch 0 Batch 4/538 - Train Accuracy: 0.240, Validation Accuracy: 0.309, Loss: 4.119
Epoch 0 Batch 5/538 - Train Accuracy: 0.218, Validation Accuracy: 0.248, Loss: 3.972
Epoch 0 Batch 6/538 - Train Accuracy: 0.319, Validation Accuracy: 0.363, Loss: 3.780
Epoch 0 Batch 7/538 - Train Accuracy: 0.298, Validation Accuracy: 0.366, Loss: 3.679
Epoch 0 Batch 8/538 - Train Accuracy: 0.296, Validation Accuracy: 0.364, Loss: 3.533
Epoch 0 Batch 9/538 - Train Accuracy: 0.300, Validation Accuracy: 0.363, Loss: 3.399
Epoch 0 Batch 10/538 - Train Accuracy: 0.280, Validation Accuracy: 0.364, Loss: 3.417
Epoch 0 Batch 11/538 - Train Accuracy: 0.307, Validation Accuracy: 0.380, Loss: 3.334
Epoch 0 Batch 12/538 - Train Accuracy: 0.314, Validation Accuracy: 0.394, Loss: 3.312
Epoch 0 Batch 13/538 - Train Accuracy: 0.365, Validation Accuracy: 0.394, Loss: 3.041
Epoch 0 Batch 14/538 - Train Accuracy: 0.327, Validation Accuracy: 0.394, Loss: 3.124
Epoch 0 Batch 15/538 - Train Accuracy: 0.377, Validation Accuracy: 0.404, Loss: 2.942
Epoch 0 Batch 16/538 - Train Accuracy: 0.365, Validation Accuracy: 0.405, Loss: 2.897
Epoch 0 Batch 17/538 - Train Accuracy: 0.348, Validation Accuracy: 0.406, Loss: 2.947
Epoch 0 Batch 18/538 - Train Accuracy: 0.354, Validation Accuracy: 0.422, Loss: 2.971
Epoch 0 Batch 19/538 - Train Accuracy: 0.363, Validation Accuracy: 0.431, Loss: 2.929
Epoch 0 Batch 20/538 - Train Accuracy: 0.397, Validation Accuracy: 0.435, Loss: 2.772
Epoch 0 Batch 21/538 - Train Accuracy: 0.345, Validation Accuracy: 0.442, Loss: 2.932
Epoch 0 Batch 22/538 - Train Accuracy: 0.383, Validation Accuracy: 0.442, Loss: 2.770
Epoch 0 Batch 23/538 - Train Accuracy: 0.389, Validation Accuracy: 0.446, Loss: 2.742
Epoch 0 Batch 24/538 - Train Accuracy: 0.406, Validation Accuracy: 0.456, Loss: 2.702
Epoch 0 Batch 25/538 - Train Accuracy: 0.362, Validation Accuracy: 0.427, Loss: 2.718
Epoch 0 Batch 26/538 - Train Accuracy: 0.397, Validation Accuracy: 0.459, Loss: 2.780
Epoch 0 Batch 27/538 - Train Accuracy: 0.400, Validation Accuracy: 0.452, Loss: 2.642
Epoch 0 Batch 28/538 - Train Accuracy: 0.431, Validation Accuracy: 0.436, Loss: 2.457
Epoch 0 Batch 29/538 - Train Accuracy: 0.400, Validation Accuracy: 0.444, Loss: 2.612
Epoch 0 Batch 30/538 - Train Accuracy: 0.375, Validation Accuracy: 0.437, Loss: 2.646
Epoch 0 Batch 31/538 - Train Accuracy: 0.427, Validation Accuracy: 0.460, Loss: 2.552
Epoch 0 Batch 32/538 - Train Accuracy: 0.404, Validation Accuracy: 0.462, Loss: 2.542
Epoch 0 Batch 33/538 - Train Accuracy: 0.423, Validation Accuracy: 0.465, Loss: 2.497
Epoch 0 Batch 34/538 - Train Accuracy: 0.404, Validation Accuracy: 0.462, Loss: 2.537
Epoch 0 Batch 35/538 - Train Accuracy: 0.394, Validation Accuracy: 0.461, Loss: 2.514
Epoch 0 Batch 36/538 - Train Accuracy: 0.423, Validation Accuracy: 0.461, Loss: 2.422
Epoch 0 Batch 37/538 - Train Accuracy: 0.418, Validation Accuracy: 0.473, Loss: 2.457
Epoch 0 Batch 38/538 - Train Accuracy: 0.410, Validation Accuracy: 0.476, Loss: 2.497
Epoch 0 Batch 39/538 - Train Accuracy: 0.421, Validation Accuracy: 0.478, Loss: 2.495
Epoch 0 Batch 40/538 - Train Accuracy: 0.489, Validation Accuracy: 0.483, Loss: 2.232
Epoch 0 Batch 41/538 - Train Accuracy: 0.432, Validation Accuracy: 0.480, Loss: 2.433
Epoch 0 Batch 42/538 - Train Accuracy: 0.421, Validation Accuracy: 0.476, Loss: 2.366
Epoch 0 Batch 43/538 - Train Accuracy: 0.428, Validation Accuracy: 0.477, Loss: 2.426
Epoch 0 Batch 44/538 - Train Accuracy: 0.440, Validation Accuracy: 0.494, Loss: 2.440
Epoch 0 Batch 45/538 - Train Accuracy: 0.449, Validation Accuracy: 0.480, Loss: 2.252
Epoch 0 Batch 46/538 - Train Accuracy: 0.446, Validation Accuracy: 0.495, Loss: 2.364
Epoch 0 Batch 47/538 - Train Accuracy: 0.463, Validation Accuracy: 0.495, Loss: 2.253
Epoch 0 Batch 48/538 - Train Accuracy: 0.471, Validation Accuracy: 0.489, Loss: 2.190
Epoch 0 Batch 49/538 - Train Accuracy: 0.405, Validation Accuracy: 0.480, Loss: 2.371
Epoch 0 Batch 50/538 - Train Accuracy: 0.427, Validation Accuracy: 0.459, Loss: 2.300
Epoch 0 Batch 51/538 - Train Accuracy: 0.399, Validation Accuracy: 0.510, Loss: 2.496
Epoch 0 Batch 52/538 - Train Accuracy: 0.443, Validation Accuracy: 0.485, Loss: 2.236
Epoch 0 Batch 53/538 - Train Accuracy: 0.479, Validation Accuracy: 0.485, Loss: 2.112
Epoch 0 Batch 54/538 - Train Accuracy: 0.454, Validation Accuracy: 0.494, Loss: 2.261
Epoch 0 Batch 55/538 - Train Accuracy: 0.446, Validation Accuracy: 0.506, Loss: 2.283
Epoch 0 Batch 56/538 - Train Accuracy: 0.439, Validation Accuracy: 0.480, Loss: 2.162
Epoch 0 Batch 57/538 - Train Accuracy: 0.432, Validation Accuracy: 0.500, Loss: 2.332
Epoch 0 Batch 58/538 - Train Accuracy: 0.430, Validation Accuracy: 0.508, Loss: 2.283
Epoch 0 Batch 59/538 - Train Accuracy: 0.433, Validation Accuracy: 0.503, Loss: 2.202
Epoch 0 Batch 60/538 - Train Accuracy: 0.459, Validation Accuracy: 0.508, Loss: 2.206
Epoch 0 Batch 61/538 - Train Accuracy: 0.469, Validation Accuracy: 0.517, Loss: 2.142
Epoch 0 Batch 62/538 - Train Accuracy: 0.451, Validation Accuracy: 0.485, Loss: 2.088
Epoch 0 Batch 63/538 - Train Accuracy: 0.474, Validation Accuracy: 0.500, Loss: 2.068
Epoch 0 Batch 64/538 - Train Accuracy: 0.493, Validation Accuracy: 0.525, Loss: 2.067
Epoch 0 Batch 65/538 - Train Accuracy: 0.417, Validation Accuracy: 0.477, Loss: 2.162
Epoch 0 Batch 66/538 - Train Accuracy: 0.465, Validation Accuracy: 0.502, Loss: 2.049
Epoch 0 Batch 67/538 - Train Accuracy: 0.455, Validation Accuracy: 0.504, Loss: 2.087
Epoch 0 Batch 68/538 - Train Accuracy: 0.444, Validation Accuracy: 0.478, Loss: 1.964
Epoch 0 Batch 69/538 - Train Accuracy: 0.438, Validation Accuracy: 0.490, Loss: 2.133
Epoch 0 Batch 70/538 - Train Accuracy: 0.432, Validation Accuracy: 0.473, Loss: 1.964
Epoch 0 Batch 71/538 - Train Accuracy: 0.462, Validation Accuracy: 0.514, Loss: 2.043
Epoch 0 Batch 72/538 - Train Accuracy: 0.484, Validation Accuracy: 0.503, Loss: 1.931
Epoch 0 Batch 73/538 - Train Accuracy: 0.421, Validation Accuracy: 0.481, Loss: 1.994
Epoch 0 Batch 74/538 - Train Accuracy: 0.467, Validation Accuracy: 0.501, Loss: 1.932
Epoch 0 Batch 75/538 - Train Accuracy: 0.494, Validation Accuracy: 0.520, Loss: 1.879
Epoch 0 Batch 76/538 - Train Accuracy: 0.424, Validation Accuracy: 0.489, Loss: 2.045
Epoch 0 Batch 77/538 - Train Accuracy: 0.449, Validation Accuracy: 0.509, Loss: 1.955
Epoch 0 Batch 78/538 - Train Accuracy: 0.471, Validation Accuracy: 0.496, Loss: 1.883
Epoch 0 Batch 79/538 - Train Accuracy: 0.446, Validation Accuracy: 0.473, Loss: 1.874
Epoch 0 Batch 80/538 - Train Accuracy: 0.420, Validation Accuracy: 0.485, Loss: 1.957
Epoch 0 Batch 81/538 - Train Accuracy: 0.465, Validation Accuracy: 0.510, Loss: 1.882
Epoch 0 Batch 82/538 - Train Accuracy: 0.403, Validation Accuracy: 0.455, Loss: 1.853
Epoch 0 Batch 83/538 - Train Accuracy: 0.369, Validation Accuracy: 0.444, Loss: 1.874
Epoch 0 Batch 84/538 - Train Accuracy: 0.467, Validation Accuracy: 0.502, Loss: 1.792
Epoch 0 Batch 85/538 - Train Accuracy: 0.474, Validation Accuracy: 0.491, Loss: 1.721
Epoch 0 Batch 86/538 - Train Accuracy: 0.409, Validation Accuracy: 0.466, Loss: 1.837
Epoch 0 Batch 87/538 - Train Accuracy: 0.459, Validation Accuracy: 0.504, Loss: 1.779
Epoch 0 Batch 88/538 - Train Accuracy: 0.447, Validation Accuracy: 0.499, Loss: 1.793
Epoch 0 Batch 89/538 - Train Accuracy: 0.436, Validation Accuracy: 0.477, Loss: 1.738
Epoch 0 Batch 90/538 - Train Accuracy: 0.467, Validation Accuracy: 0.494, Loss: 1.702
Epoch 0 Batch 91/538 - Train Accuracy: 0.449, Validation Accuracy: 0.497, Loss: 1.761
Epoch 0 Batch 92/538 - Train Accuracy: 0.446, Validation Accuracy: 0.499, Loss: 1.688
Epoch 0 Batch 93/538 - Train Accuracy: 0.449, Validation Accuracy: 0.510, Loss: 1.708
Epoch 0 Batch 94/538 - Train Accuracy: 0.448, Validation Accuracy: 0.508, Loss: 1.730
Epoch 0 Batch 95/538 - Train Accuracy: 0.496, Validation Accuracy: 0.499, Loss: 1.539
Epoch 0 Batch 96/538 - Train Accuracy: 0.475, Validation Accuracy: 0.500, Loss: 1.542
Epoch 0 Batch 97/538 - Train Accuracy: 0.422, Validation Accuracy: 0.484, Loss: 1.647
Epoch 0 Batch 98/538 - Train Accuracy: 0.462, Validation Accuracy: 0.481, Loss: 1.521
Epoch 0 Batch 99/538 - Train Accuracy: 0.443, Validation Accuracy: 0.501, Loss: 1.647
Epoch 0 Batch 100/538 - Train Accuracy: 0.478, Validation Accuracy: 0.512, Loss: 1.569
Epoch 0 Batch 101/538 - Train Accuracy: 0.447, Validation Accuracy: 0.493, Loss: 1.580
Epoch 0 Batch 102/538 - Train Accuracy: 0.467, Validation Accuracy: 0.510, Loss: 1.621
Epoch 0 Batch 103/538 - Train Accuracy: 0.463, Validation Accuracy: 0.501, Loss: 1.558
Epoch 0 Batch 104/538 - Train Accuracy: 0.448, Validation Accuracy: 0.485, Loss: 1.520
Epoch 0 Batch 105/538 - Train Accuracy: 0.485, Validation Accuracy: 0.511, Loss: 1.488
Epoch 0 Batch 106/538 - Train Accuracy: 0.382, Validation Accuracy: 0.446, Loss: 1.546
Epoch 0 Batch 107/538 - Train Accuracy: 0.445, Validation Accuracy: 0.506, Loss: 1.626
Epoch 0 Batch 108/538 - Train Accuracy: 0.490, Validation Accuracy: 0.517, Loss: 1.515
Epoch 0 Batch 109/538 - Train Accuracy: 0.387, Validation Accuracy: 0.444, Loss: 1.489
Epoch 0 Batch 110/538 - Train Accuracy: 0.462, Validation Accuracy: 0.506, Loss: 1.563
Epoch 0 Batch 111/538 - Train Accuracy: 0.504, Validation Accuracy: 0.520, Loss: 1.403
Epoch 0 Batch 112/538 - Train Accuracy: 0.419, Validation Accuracy: 0.482, Loss: 1.517
Epoch 0 Batch 113/538 - Train Accuracy: 0.408, Validation Accuracy: 0.475, Loss: 1.499
Epoch 0 Batch 114/538 - Train Accuracy: 0.512, Validation Accuracy: 0.517, Loss: 1.372
Epoch 0 Batch 115/538 - Train Accuracy: 0.454, Validation Accuracy: 0.492, Loss: 1.423
Epoch 0 Batch 116/538 - Train Accuracy: 0.430, Validation Accuracy: 0.458, Loss: 1.399
Epoch 0 Batch 117/538 - Train Accuracy: 0.448, Validation Accuracy: 0.472, Loss: 1.354
Epoch 0 Batch 118/538 - Train Accuracy: 0.489, Validation Accuracy: 0.507, Loss: 1.309
Epoch 0 Batch 119/538 - Train Accuracy: 0.471, Validation Accuracy: 0.494, Loss: 1.327
Epoch 0 Batch 120/538 - Train Accuracy: 0.446, Validation Accuracy: 0.493, Loss: 1.325
Epoch 0 Batch 121/538 - Train Accuracy: 0.464, Validation Accuracy: 0.479, Loss: 1.290
Epoch 0 Batch 122/538 - Train Accuracy: 0.480, Validation Accuracy: 0.497, Loss: 1.268
Epoch 0 Batch 123/538 - Train Accuracy: 0.491, Validation Accuracy: 0.506, Loss: 1.215
Epoch 0 Batch 124/538 - Train Accuracy: 0.488, Validation Accuracy: 0.493, Loss: 1.204
Epoch 0 Batch 125/538 - Train Accuracy: 0.473, Validation Accuracy: 0.504, Loss: 1.242
Epoch 0 Batch 126/538 - Train Accuracy: 0.498, Validation Accuracy: 0.497, Loss: 1.195
Epoch 0 Batch 127/538 - Train Accuracy: 0.440, Validation Accuracy: 0.496, Loss: 1.291
Epoch 0 Batch 128/538 - Train Accuracy: 0.492, Validation Accuracy: 0.506, Loss: 1.194
Epoch 0 Batch 129/538 - Train Accuracy: 0.468, Validation Accuracy: 0.512, Loss: 1.186
Epoch 0 Batch 130/538 - Train Accuracy: 0.475, Validation Accuracy: 0.519, Loss: 1.164
Epoch 0 Batch 131/538 - Train Accuracy: 0.471, Validation Accuracy: 0.531, Loss: 1.216
Epoch 0 Batch 132/538 - Train Accuracy: 0.488, Validation Accuracy: 0.510, Loss: 1.134
Epoch 0 Batch 133/538 - Train Accuracy: 0.494, Validation Accuracy: 0.492, Loss: 1.080
Epoch 0 Batch 134/538 - Train Accuracy: 0.447, Validation Accuracy: 0.505, Loss: 1.229
Epoch 0 Batch 135/538 - Train Accuracy: 0.485, Validation Accuracy: 0.509, Loss: 1.132
Epoch 0 Batch 136/538 - Train Accuracy: 0.469, Validation Accuracy: 0.515, Loss: 1.132
Epoch 0 Batch 137/538 - Train Accuracy: 0.472, Validation Accuracy: 0.504, Loss: 1.130
Epoch 0 Batch 138/538 - Train Accuracy: 0.474, Validation Accuracy: 0.509, Loss: 1.118
Epoch 0 Batch 139/538 - Train Accuracy: 0.469, Validation Accuracy: 0.515, Loss: 1.186
Epoch 0 Batch 140/538 - Train Accuracy: 0.468, Validation Accuracy: 0.518, Loss: 1.179
Epoch 0 Batch 141/538 - Train Accuracy: 0.465, Validation Accuracy: 0.521, Loss: 1.148
Epoch 0 Batch 142/538 - Train Accuracy: 0.518, Validation Accuracy: 0.513, Loss: 1.042
Epoch 0 Batch 143/538 - Train Accuracy: 0.468, Validation Accuracy: 0.508, Loss: 1.107
Epoch 0 Batch 144/538 - Train Accuracy: 0.494, Validation Accuracy: 0.509, Loss: 1.097
Epoch 0 Batch 145/538 - Train Accuracy: 0.501, Validation Accuracy: 0.519, Loss: 1.076
Epoch 0 Batch 146/538 - Train Accuracy: 0.517, Validation Accuracy: 0.536, Loss: 0.997
Epoch 0 Batch 147/538 - Train Accuracy: 0.522, Validation Accuracy: 0.540, Loss: 1.031
Epoch 0 Batch 148/538 - Train Accuracy: 0.483, Validation Accuracy: 0.536, Loss: 1.118
Epoch 0 Batch 149/538 - Train Accuracy: 0.477, Validation Accuracy: 0.519, Loss: 1.025
Epoch 0 Batch 150/538 - Train Accuracy: 0.505, Validation Accuracy: 0.524, Loss: 1.038
Epoch 0 Batch 151/538 - Train Accuracy: 0.501, Validation Accuracy: 0.527, Loss: 0.989
Epoch 0 Batch 152/538 - Train Accuracy: 0.523, Validation Accuracy: 0.532, Loss: 0.990
Epoch 0 Batch 153/538 - Train Accuracy: 0.492, Validation Accuracy: 0.526, Loss: 1.039
Epoch 0 Batch 154/538 - Train Accuracy: 0.498, Validation Accuracy: 0.523, Loss: 0.971
Epoch 0 Batch 155/538 - Train Accuracy: 0.543, Validation Accuracy: 0.528, Loss: 0.981
Epoch 0 Batch 156/538 - Train Accuracy: 0.501, Validation Accuracy: 0.537, Loss: 1.001
Epoch 0 Batch 157/538 - Train Accuracy: 0.502, Validation Accuracy: 0.526, Loss: 0.950
Epoch 0 Batch 158/538 - Train Accuracy: 0.493, Validation Accuracy: 0.524, Loss: 0.990
Epoch 0 Batch 159/538 - Train Accuracy: 0.484, Validation Accuracy: 0.533, Loss: 0.992
Epoch 0 Batch 160/538 - Train Accuracy: 0.514, Validation Accuracy: 0.532, Loss: 0.928
Epoch 0 Batch 161/538 - Train Accuracy: 0.510, Validation Accuracy: 0.524, Loss: 0.961
Epoch 0 Batch 162/538 - Train Accuracy: 0.547, Validation Accuracy: 0.523, Loss: 0.926
Epoch 0 Batch 163/538 - Train Accuracy: 0.504, Validation Accuracy: 0.526, Loss: 0.951
Epoch 0 Batch 164/538 - Train Accuracy: 0.489, Validation Accuracy: 0.516, Loss: 0.971
Epoch 0 Batch 165/538 - Train Accuracy: 0.517, Validation Accuracy: 0.532, Loss: 0.883
Epoch 0 Batch 166/538 - Train Accuracy: 0.512, Validation Accuracy: 0.538, Loss: 0.935
Epoch 0 Batch 167/538 - Train Accuracy: 0.554, Validation Accuracy: 0.536, Loss: 0.895
Epoch 0 Batch 168/538 - Train Accuracy: 0.496, Validation Accuracy: 0.538, Loss: 0.964
Epoch 0 Batch 169/538 - Train Accuracy: 0.487, Validation Accuracy: 0.533, Loss: 0.903
Epoch 0 Batch 170/538 - Train Accuracy: 0.511, Validation Accuracy: 0.539, Loss: 0.900
Epoch 0 Batch 171/538 - Train Accuracy: 0.512, Validation Accuracy: 0.550, Loss: 0.928
Epoch 0 Batch 172/538 - Train Accuracy: 0.536, Validation Accuracy: 0.553, Loss: 0.874
Epoch 0 Batch 173/538 - Train Accuracy: 0.520, Validation Accuracy: 0.545, Loss: 0.871
Epoch 0 Batch 174/538 - Train Accuracy: 0.490, Validation Accuracy: 0.538, Loss: 0.926
Epoch 0 Batch 175/538 - Train Accuracy: 0.470, Validation Accuracy: 0.534, Loss: 0.921
Epoch 0 Batch 176/538 - Train Accuracy: 0.518, Validation Accuracy: 0.542, Loss: 0.924
Epoch 0 Batch 177/538 - Train Accuracy: 0.532, Validation Accuracy: 0.533, Loss: 0.871
Epoch 0 Batch 178/538 - Train Accuracy: 0.553, Validation Accuracy: 0.554, Loss: 0.845
Epoch 0 Batch 179/538 - Train Accuracy: 0.531, Validation Accuracy: 0.555, Loss: 0.880
Epoch 0 Batch 180/538 - Train Accuracy: 0.559, Validation Accuracy: 0.553, Loss: 0.853
Epoch 0 Batch 181/538 - Train Accuracy: 0.470, Validation Accuracy: 0.512, Loss: 0.904
Epoch 0 Batch 182/538 - Train Accuracy: 0.479, Validation Accuracy: 0.508, Loss: 0.881
Epoch 0 Batch 183/538 - Train Accuracy: 0.533, Validation Accuracy: 0.531, Loss: 0.810
Epoch 0 Batch 184/538 - Train Accuracy: 0.530, Validation Accuracy: 0.548, Loss: 0.816
Epoch 0 Batch 185/538 - Train Accuracy: 0.542, Validation Accuracy: 0.544, Loss: 0.854
Epoch 0 Batch 186/538 - Train Accuracy: 0.532, Validation Accuracy: 0.534, Loss: 0.837
Epoch 0 Batch 187/538 - Train Accuracy: 0.537, Validation Accuracy: 0.536, Loss: 0.803
Epoch 0 Batch 188/538 - Train Accuracy: 0.487, Validation Accuracy: 0.537, Loss: 0.844
Epoch 0 Batch 189/538 - Train Accuracy: 0.523, Validation Accuracy: 0.534, Loss: 0.847
Epoch 0 Batch 190/538 - Train Accuracy: 0.506, Validation Accuracy: 0.532, Loss: 0.848
Epoch 0 Batch 191/538 - Train Accuracy: 0.540, Validation Accuracy: 0.535, Loss: 0.798
Epoch 0 Batch 192/538 - Train Accuracy: 0.524, Validation Accuracy: 0.538, Loss: 0.820
Epoch 0 Batch 193/538 - Train Accuracy: 0.556, Validation Accuracy: 0.558, Loss: 0.791
Epoch 0 Batch 194/538 - Train Accuracy: 0.522, Validation Accuracy: 0.552, Loss: 0.846
Epoch 0 Batch 195/538 - Train Accuracy: 0.534, Validation Accuracy: 0.553, Loss: 0.787
Epoch 0 Batch 196/538 - Train Accuracy: 0.541, Validation Accuracy: 0.557, Loss: 0.789
Epoch 0 Batch 197/538 - Train Accuracy: 0.563, Validation Accuracy: 0.541, Loss: 0.788
Epoch 0 Batch 198/538 - Train Accuracy: 0.566, Validation Accuracy: 0.542, Loss: 0.781
Epoch 0 Batch 199/538 - Train Accuracy: 0.508, Validation Accuracy: 0.548, Loss: 0.832
Epoch 0 Batch 200/538 - Train Accuracy: 0.526, Validation Accuracy: 0.548, Loss: 0.797
Epoch 0 Batch 201/538 - Train Accuracy: 0.548, Validation Accuracy: 0.559, Loss: 0.781
Epoch 0 Batch 202/538 - Train Accuracy: 0.510, Validation Accuracy: 0.546, Loss: 0.833
Epoch 0 Batch 203/538 - Train Accuracy: 0.520, Validation Accuracy: 0.547, Loss: 0.837
Epoch 0 Batch 204/538 - Train Accuracy: 0.517, Validation Accuracy: 0.552, Loss: 0.804
Epoch 0 Batch 205/538 - Train Accuracy: 0.565, Validation Accuracy: 0.569, Loss: 0.753
Epoch 0 Batch 206/538 - Train Accuracy: 0.502, Validation Accuracy: 0.564, Loss: 0.814
Epoch 0 Batch 207/538 - Train Accuracy: 0.528, Validation Accuracy: 0.566, Loss: 0.757
Epoch 0 Batch 208/538 - Train Accuracy: 0.533, Validation Accuracy: 0.567, Loss: 0.800
Epoch 0 Batch 209/538 - Train Accuracy: 0.529, Validation Accuracy: 0.561, Loss: 0.785
Epoch 0 Batch 210/538 - Train Accuracy: 0.541, Validation Accuracy: 0.562, Loss: 0.762
Epoch 0 Batch 211/538 - Train Accuracy: 0.518, Validation Accuracy: 0.541, Loss: 0.806
Epoch 0 Batch 212/538 - Train Accuracy: 0.534, Validation Accuracy: 0.541, Loss: 0.770
Epoch 0 Batch 213/538 - Train Accuracy: 0.529, Validation Accuracy: 0.539, Loss: 0.763
Epoch 0 Batch 214/538 - Train Accuracy: 0.518, Validation Accuracy: 0.540, Loss: 0.775
Epoch 0 Batch 215/538 - Train Accuracy: 0.528, Validation Accuracy: 0.548, Loss: 0.773
Epoch 0 Batch 216/538 - Train Accuracy: 0.522, Validation Accuracy: 0.561, Loss: 0.788
Epoch 0 Batch 217/538 - Train Accuracy: 0.578, Validation Accuracy: 0.562, Loss: 0.741
Epoch 0 Batch 218/538 - Train Accuracy: 0.516, Validation Accuracy: 0.544, Loss: 0.779
Epoch 0 Batch 219/538 - Train Accuracy: 0.517, Validation Accuracy: 0.546, Loss: 0.798
Epoch 0 Batch 220/538 - Train Accuracy: 0.520, Validation Accuracy: 0.548, Loss: 0.737
Epoch 0 Batch 221/538 - Train Accuracy: 0.552, Validation Accuracy: 0.557, Loss: 0.726
Epoch 0 Batch 222/538 - Train Accuracy: 0.547, Validation Accuracy: 0.557, Loss: 0.715
Epoch 0 Batch 223/538 - Train Accuracy: 0.528, Validation Accuracy: 0.554, Loss: 0.768
Epoch 0 Batch 224/538 - Train Accuracy: 0.483, Validation Accuracy: 0.548, Loss: 0.774
Epoch 0 Batch 225/538 - Train Accuracy: 0.549, Validation Accuracy: 0.550, Loss: 0.731
Epoch 0 Batch 226/538 - Train Accuracy: 0.556, Validation Accuracy: 0.564, Loss: 0.725
Epoch 0 Batch 227/538 - Train Accuracy: 0.569, Validation Accuracy: 0.555, Loss: 0.700
Epoch 0 Batch 228/538 - Train Accuracy: 0.544, Validation Accuracy: 0.558, Loss: 0.717
Epoch 0 Batch 229/538 - Train Accuracy: 0.545, Validation Accuracy: 0.561, Loss: 0.725
Epoch 0 Batch 230/538 - Train Accuracy: 0.545, Validation Accuracy: 0.569, Loss: 0.737
Epoch 0 Batch 231/538 - Train Accuracy: 0.558, Validation Accuracy: 0.567, Loss: 0.745
Epoch 0 Batch 232/538 - Train Accuracy: 0.558, Validation Accuracy: 0.572, Loss: 0.749
Epoch 0 Batch 233/538 - Train Accuracy: 0.595, Validation Accuracy: 0.591, Loss: 0.712
Epoch 0 Batch 234/538 - Train Accuracy: 0.524, Validation Accuracy: 0.572, Loss: 0.748
Epoch 0 Batch 235/538 - Train Accuracy: 0.564, Validation Accuracy: 0.582, Loss: 0.697
Epoch 0 Batch 236/538 - Train Accuracy: 0.535, Validation Accuracy: 0.573, Loss: 0.756
Epoch 0 Batch 237/538 - Train Accuracy: 0.544, Validation Accuracy: 0.570, Loss: 0.704
Epoch 0 Batch 238/538 - Train Accuracy: 0.585, Validation Accuracy: 0.576, Loss: 0.696
Epoch 0 Batch 239/538 - Train Accuracy: 0.579, Validation Accuracy: 0.587, Loss: 0.731
Epoch 0 Batch 240/538 - Train Accuracy: 0.562, Validation Accuracy: 0.600, Loss: 0.735
Epoch 0 Batch 241/538 - Train Accuracy: 0.541, Validation Accuracy: 0.599, Loss: 0.730
Epoch 0 Batch 242/538 - Train Accuracy: 0.580, Validation Accuracy: 0.591, Loss: 0.713
Epoch 0 Batch 243/538 - Train Accuracy: 0.553, Validation Accuracy: 0.597, Loss: 0.751
Epoch 0 Batch 244/538 - Train Accuracy: 0.560, Validation Accuracy: 0.582, Loss: 0.696
Epoch 0 Batch 245/538 - Train Accuracy: 0.543, Validation Accuracy: 0.569, Loss: 0.734
Epoch 0 Batch 246/538 - Train Accuracy: 0.589, Validation Accuracy: 0.580, Loss: 0.660
Epoch 0 Batch 247/538 - Train Accuracy: 0.558, Validation Accuracy: 0.591, Loss: 0.710
Epoch 0 Batch 248/538 - Train Accuracy: 0.561, Validation Accuracy: 0.590, Loss: 0.717
Epoch 0 Batch 249/538 - Train Accuracy: 0.572, Validation Accuracy: 0.577, Loss: 0.679
Epoch 0 Batch 250/538 - Train Accuracy: 0.561, Validation Accuracy: 0.580, Loss: 0.706
Epoch 0 Batch 251/538 - Train Accuracy: 0.559, Validation Accuracy: 0.589, Loss: 0.727
Epoch 0 Batch 252/538 - Train Accuracy: 0.583, Validation Accuracy: 0.593, Loss: 0.671
Epoch 0 Batch 253/538 - Train Accuracy: 0.576, Validation Accuracy: 0.579, Loss: 0.668
Epoch 0 Batch 254/538 - Train Accuracy: 0.566, Validation Accuracy: 0.574, Loss: 0.718
Epoch 0 Batch 255/538 - Train Accuracy: 0.576, Validation Accuracy: 0.600, Loss: 0.686
Epoch 0 Batch 256/538 - Train Accuracy: 0.571, Validation Accuracy: 0.603, Loss: 0.709
Epoch 0 Batch 257/538 - Train Accuracy: 0.599, Validation Accuracy: 0.604, Loss: 0.665
Epoch 0 Batch 258/538 - Train Accuracy: 0.601, Validation Accuracy: 0.598, Loss: 0.679
Epoch 0 Batch 259/538 - Train Accuracy: 0.603, Validation Accuracy: 0.607, Loss: 0.666
Epoch 0 Batch 260/538 - Train Accuracy: 0.585, Validation Accuracy: 0.600, Loss: 0.683
Epoch 0 Batch 261/538 - Train Accuracy: 0.569, Validation Accuracy: 0.599, Loss: 0.710
Epoch 0 Batch 262/538 - Train Accuracy: 0.548, Validation Accuracy: 0.573, Loss: 0.680
Epoch 0 Batch 263/538 - Train Accuracy: 0.576, Validation Accuracy: 0.585, Loss: 0.686
Epoch 0 Batch 264/538 - Train Accuracy: 0.579, Validation Accuracy: 0.594, Loss: 0.703
Epoch 0 Batch 265/538 - Train Accuracy: 0.550, Validation Accuracy: 0.601, Loss: 0.716
Epoch 0 Batch 266/538 - Train Accuracy: 0.594, Validation Accuracy: 0.579, Loss: 0.677
Epoch 0 Batch 267/538 - Train Accuracy: 0.570, Validation Accuracy: 0.601, Loss: 0.674
Epoch 0 Batch 268/538 - Train Accuracy: 0.608, Validation Accuracy: 0.610, Loss: 0.641
Epoch 0 Batch 269/538 - Train Accuracy: 0.582, Validation Accuracy: 0.604, Loss: 0.675
Epoch 0 Batch 270/538 - Train Accuracy: 0.579, Validation Accuracy: 0.601, Loss: 0.676
Epoch 0 Batch 271/538 - Train Accuracy: 0.584, Validation Accuracy: 0.610, Loss: 0.687
Epoch 0 Batch 272/538 - Train Accuracy: 0.562, Validation Accuracy: 0.610, Loss: 0.714
Epoch 0 Batch 273/538 - Train Accuracy: 0.589, Validation Accuracy: 0.605, Loss: 0.681
Epoch 0 Batch 274/538 - Train Accuracy: 0.554, Validation Accuracy: 0.607, Loss: 0.717
Epoch 0 Batch 275/538 - Train Accuracy: 0.575, Validation Accuracy: 0.602, Loss: 0.695
Epoch 0 Batch 276/538 - Train Accuracy: 0.590, Validation Accuracy: 0.607, Loss: 0.682
Epoch 0 Batch 277/538 - Train Accuracy: 0.574, Validation Accuracy: 0.598, Loss: 0.678
Epoch 0 Batch 278/538 - Train Accuracy: 0.599, Validation Accuracy: 0.611, Loss: 0.681
Epoch 0 Batch 279/538 - Train Accuracy: 0.581, Validation Accuracy: 0.611, Loss: 0.656
Epoch 0 Batch 280/538 - Train Accuracy: 0.627, Validation Accuracy: 0.610, Loss: 0.643
Epoch 0 Batch 281/538 - Train Accuracy: 0.595, Validation Accuracy: 0.609, Loss: 0.687
Epoch 0 Batch 282/538 - Train Accuracy: 0.609, Validation Accuracy: 0.610, Loss: 0.659
Epoch 0 Batch 283/538 - Train Accuracy: 0.593, Validation Accuracy: 0.611, Loss: 0.663
Epoch 0 Batch 284/538 - Train Accuracy: 0.590, Validation Accuracy: 0.601, Loss: 0.660
Epoch 0 Batch 285/538 - Train Accuracy: 0.601, Validation Accuracy: 0.589, Loss: 0.620
Epoch 0 Batch 286/538 - Train Accuracy: 0.585, Validation Accuracy: 0.598, Loss: 0.659
Epoch 0 Batch 287/538 - Train Accuracy: 0.630, Validation Accuracy: 0.612, Loss: 0.629
Epoch 0 Batch 288/538 - Train Accuracy: 0.567, Validation Accuracy: 0.611, Loss: 0.665
Epoch 0 Batch 289/538 - Train Accuracy: 0.630, Validation Accuracy: 0.614, Loss: 0.607
Epoch 0 Batch 290/538 - Train Accuracy: 0.577, Validation Accuracy: 0.612, Loss: 0.643
Epoch 0 Batch 291/538 - Train Accuracy: 0.589, Validation Accuracy: 0.607, Loss: 0.636
Epoch 0 Batch 292/538 - Train Accuracy: 0.614, Validation Accuracy: 0.607, Loss: 0.612
Epoch 0 Batch 293/538 - Train Accuracy: 0.609, Validation Accuracy: 0.620, Loss: 0.617
Epoch 0 Batch 294/538 - Train Accuracy: 0.572, Validation Accuracy: 0.624, Loss: 0.674
Epoch 0 Batch 295/538 - Train Accuracy: 0.635, Validation Accuracy: 0.616, Loss: 0.589
Epoch 0 Batch 296/538 - Train Accuracy: 0.606, Validation Accuracy: 0.617, Loss: 0.626
Epoch 0 Batch 297/538 - Train Accuracy: 0.586, Validation Accuracy: 0.611, Loss: 0.656
Epoch 0 Batch 298/538 - Train Accuracy: 0.610, Validation Accuracy: 0.612, Loss: 0.614
Epoch 0 Batch 299/538 - Train Accuracy: 0.613, Validation Accuracy: 0.613, Loss: 0.629
Epoch 0 Batch 300/538 - Train Accuracy: 0.621, Validation Accuracy: 0.616, Loss: 0.617
Epoch 0 Batch 301/538 - Train Accuracy: 0.590, Validation Accuracy: 0.614, Loss: 0.629
Epoch 0 Batch 302/538 - Train Accuracy: 0.645, Validation Accuracy: 0.614, Loss: 0.595
Epoch 0 Batch 303/538 - Train Accuracy: 0.637, Validation Accuracy: 0.607, Loss: 0.593
Epoch 0 Batch 304/538 - Train Accuracy: 0.576, Validation Accuracy: 0.597, Loss: 0.632
Epoch 0 Batch 305/538 - Train Accuracy: 0.593, Validation Accuracy: 0.593, Loss: 0.606
Epoch 0 Batch 306/538 - Train Accuracy: 0.592, Validation Accuracy: 0.597, Loss: 0.618
Epoch 0 Batch 307/538 - Train Accuracy: 0.605, Validation Accuracy: 0.611, Loss: 0.631
Epoch 0 Batch 308/538 - Train Accuracy: 0.609, Validation Accuracy: 0.611, Loss: 0.607
Epoch 0 Batch 309/538 - Train Accuracy: 0.596, Validation Accuracy: 0.614, Loss: 0.623
Epoch 0 Batch 310/538 - Train Accuracy: 0.602, Validation Accuracy: 0.610, Loss: 0.620
Epoch 0 Batch 311/538 - Train Accuracy: 0.605, Validation Accuracy: 0.610, Loss: 0.605
Epoch 0 Batch 312/538 - Train Accuracy: 0.650, Validation Accuracy: 0.618, Loss: 0.562
Epoch 0 Batch 313/538 - Train Accuracy: 0.604, Validation Accuracy: 0.625, Loss: 0.649
Epoch 0 Batch 314/538 - Train Accuracy: 0.604, Validation Accuracy: 0.626, Loss: 0.624
Epoch 0 Batch 315/538 - Train Accuracy: 0.593, Validation Accuracy: 0.624, Loss: 0.599
Epoch 0 Batch 316/538 - Train Accuracy: 0.609, Validation Accuracy: 0.620, Loss: 0.598
Epoch 0 Batch 317/538 - Train Accuracy: 0.609, Validation Accuracy: 0.608, Loss: 0.620
Epoch 0 Batch 318/538 - Train Accuracy: 0.590, Validation Accuracy: 0.615, Loss: 0.612
Epoch 0 Batch 319/538 - Train Accuracy: 0.620, Validation Accuracy: 0.626, Loss: 0.602
Epoch 0 Batch 320/538 - Train Accuracy: 0.621, Validation Accuracy: 0.626, Loss: 0.601
Epoch 0 Batch 321/538 - Train Accuracy: 0.619, Validation Accuracy: 0.632, Loss: 0.587
Epoch 0 Batch 322/538 - Train Accuracy: 0.640, Validation Accuracy: 0.631, Loss: 0.584
Epoch 0 Batch 323/538 - Train Accuracy: 0.621, Validation Accuracy: 0.633, Loss: 0.593
Epoch 0 Batch 324/538 - Train Accuracy: 0.575, Validation Accuracy: 0.623, Loss: 0.627
Epoch 0 Batch 325/538 - Train Accuracy: 0.599, Validation Accuracy: 0.618, Loss: 0.589
Epoch 0 Batch 326/538 - Train Accuracy: 0.613, Validation Accuracy: 0.625, Loss: 0.617
Epoch 0 Batch 327/538 - Train Accuracy: 0.601, Validation Accuracy: 0.614, Loss: 0.624
Epoch 0 Batch 328/538 - Train Accuracy: 0.639, Validation Accuracy: 0.614, Loss: 0.579
Epoch 0 Batch 329/538 - Train Accuracy: 0.623, Validation Accuracy: 0.606, Loss: 0.591
Epoch 0 Batch 330/538 - Train Accuracy: 0.624, Validation Accuracy: 0.619, Loss: 0.573
Epoch 0 Batch 331/538 - Train Accuracy: 0.612, Validation Accuracy: 0.630, Loss: 0.589
Epoch 0 Batch 332/538 - Train Accuracy: 0.609, Validation Accuracy: 0.629, Loss: 0.617
Epoch 0 Batch 333/538 - Train Accuracy: 0.619, Validation Accuracy: 0.628, Loss: 0.586
Epoch 0 Batch 334/538 - Train Accuracy: 0.646, Validation Accuracy: 0.624, Loss: 0.551
Epoch 0 Batch 335/538 - Train Accuracy: 0.636, Validation Accuracy: 0.634, Loss: 0.583
Epoch 0 Batch 336/538 - Train Accuracy: 0.634, Validation Accuracy: 0.635, Loss: 0.572
Epoch 0 Batch 337/538 - Train Accuracy: 0.618, Validation Accuracy: 0.630, Loss: 0.594
Epoch 0 Batch 338/538 - Train Accuracy: 0.603, Validation Accuracy: 0.624, Loss: 0.665
Epoch 0 Batch 339/538 - Train Accuracy: 0.608, Validation Accuracy: 0.628, Loss: 0.647
Epoch 0 Batch 340/538 - Train Accuracy: 0.593, Validation Accuracy: 0.619, Loss: 0.688
Epoch 0 Batch 341/538 - Train Accuracy: 0.606, Validation Accuracy: 0.619, Loss: 0.620
Epoch 0 Batch 342/538 - Train Accuracy: 0.608, Validation Accuracy: 0.619, Loss: 0.601
Epoch 0 Batch 343/538 - Train Accuracy: 0.605, Validation Accuracy: 0.627, Loss: 0.651
Epoch 0 Batch 344/538 - Train Accuracy: 0.577, Validation Accuracy: 0.616, Loss: 0.631
Epoch 0 Batch 345/538 - Train Accuracy: 0.595, Validation Accuracy: 0.615, Loss: 0.624
Epoch 0 Batch 346/538 - Train Accuracy: 0.587, Validation Accuracy: 0.615, Loss: 0.616
Epoch 0 Batch 347/538 - Train Accuracy: 0.611, Validation Accuracy: 0.621, Loss: 0.618
Epoch 0 Batch 348/538 - Train Accuracy: 0.621, Validation Accuracy: 0.616, Loss: 0.582
Epoch 0 Batch 349/538 - Train Accuracy: 0.576, Validation Accuracy: 0.618, Loss: 0.614
Epoch 0 Batch 350/538 - Train Accuracy: 0.623, Validation Accuracy: 0.619, Loss: 0.612
Epoch 0 Batch 351/538 - Train Accuracy: 0.604, Validation Accuracy: 0.624, Loss: 0.635
Epoch 0 Batch 352/538 - Train Accuracy: 0.649, Validation Accuracy: 0.624, Loss: 0.608
Epoch 0 Batch 353/538 - Train Accuracy: 0.623, Validation Accuracy: 0.630, Loss: 0.620
Epoch 0 Batch 354/538 - Train Accuracy: 0.603, Validation Accuracy: 0.629, Loss: 0.616
Epoch 0 Batch 355/538 - Train Accuracy: 0.622, Validation Accuracy: 0.631, Loss: 0.609
Epoch 0 Batch 356/538 - Train Accuracy: 0.623, Validation Accuracy: 0.635, Loss: 0.554
Epoch 0 Batch 357/538 - Train Accuracy: 0.630, Validation Accuracy: 0.639, Loss: 0.587
Epoch 0 Batch 358/538 - Train Accuracy: 0.596, Validation Accuracy: 0.629, Loss: 0.603
Epoch 0 Batch 359/538 - Train Accuracy: 0.637, Validation Accuracy: 0.633, Loss: 0.581
Epoch 0 Batch 360/538 - Train Accuracy: 0.625, Validation Accuracy: 0.638, Loss: 0.599
Epoch 0 Batch 361/538 - Train Accuracy: 0.630, Validation Accuracy: 0.640, Loss: 0.579
Epoch 0 Batch 362/538 - Train Accuracy: 0.639, Validation Accuracy: 0.641, Loss: 0.564
Epoch 0 Batch 363/538 - Train Accuracy: 0.640, Validation Accuracy: 0.636, Loss: 0.557
Epoch 0 Batch 364/538 - Train Accuracy: 0.598, Validation Accuracy: 0.638, Loss: 0.614
Epoch 0 Batch 365/538 - Train Accuracy: 0.634, Validation Accuracy: 0.637, Loss: 0.567
Epoch 0 Batch 366/538 - Train Accuracy: 0.630, Validation Accuracy: 0.630, Loss: 0.591
Epoch 0 Batch 367/538 - Train Accuracy: 0.627, Validation Accuracy: 0.625, Loss: 0.562
Epoch 0 Batch 368/538 - Train Accuracy: 0.671, Validation Accuracy: 0.626, Loss: 0.524
Epoch 0 Batch 369/538 - Train Accuracy: 0.625, Validation Accuracy: 0.633, Loss: 0.581
Epoch 0 Batch 370/538 - Train Accuracy: 0.623, Validation Accuracy: 0.640, Loss: 0.597
Epoch 0 Batch 371/538 - Train Accuracy: 0.639, Validation Accuracy: 0.641, Loss: 0.557
Epoch 0 Batch 372/538 - Train Accuracy: 0.643, Validation Accuracy: 0.633, Loss: 0.567
Epoch 0 Batch 373/538 - Train Accuracy: 0.619, Validation Accuracy: 0.637, Loss: 0.561
Epoch 0 Batch 374/538 - Train Accuracy: 0.614, Validation Accuracy: 0.640, Loss: 0.587
Epoch 0 Batch 375/538 - Train Accuracy: 0.640, Validation Accuracy: 0.642, Loss: 0.539
Epoch 0 Batch 376/538 - Train Accuracy: 0.625, Validation Accuracy: 0.643, Loss: 0.575
Epoch 0 Batch 377/538 - Train Accuracy: 0.646, Validation Accuracy: 0.644, Loss: 0.562
Epoch 0 Batch 378/538 - Train Accuracy: 0.649, Validation Accuracy: 0.645, Loss: 0.537
Epoch 0 Batch 379/538 - Train Accuracy: 0.652, Validation Accuracy: 0.646, Loss: 0.532
Epoch 0 Batch 380/538 - Train Accuracy: 0.605, Validation Accuracy: 0.641, Loss: 0.556
Epoch 0 Batch 381/538 - Train Accuracy: 0.619, Validation Accuracy: 0.625, Loss: 0.527
Epoch 0 Batch 382/538 - Train Accuracy: 0.603, Validation Accuracy: 0.632, Loss: 0.561
Epoch 0 Batch 383/538 - Train Accuracy: 0.611, Validation Accuracy: 0.634, Loss: 0.560
Epoch 0 Batch 384/538 - Train Accuracy: 0.648, Validation Accuracy: 0.637, Loss: 0.530
Epoch 0 Batch 385/538 - Train Accuracy: 0.652, Validation Accuracy: 0.639, Loss: 0.530
Epoch 0 Batch 386/538 - Train Accuracy: 0.624, Validation Accuracy: 0.640, Loss: 0.554
Epoch 0 Batch 387/538 - Train Accuracy: 0.622, Validation Accuracy: 0.640, Loss: 0.546
Epoch 0 Batch 388/538 - Train Accuracy: 0.637, Validation Accuracy: 0.640, Loss: 0.530
Epoch 0 Batch 389/538 - Train Accuracy: 0.635, Validation Accuracy: 0.646, Loss: 0.553
Epoch 0 Batch 390/538 - Train Accuracy: 0.668, Validation Accuracy: 0.646, Loss: 0.529
Epoch 0 Batch 391/538 - Train Accuracy: 0.651, Validation Accuracy: 0.642, Loss: 0.520
Epoch 0 Batch 392/538 - Train Accuracy: 0.648, Validation Accuracy: 0.644, Loss: 0.526
Epoch 0 Batch 393/538 - Train Accuracy: 0.648, Validation Accuracy: 0.650, Loss: 0.516
Epoch 0 Batch 394/538 - Train Accuracy: 0.585, Validation Accuracy: 0.640, Loss: 0.551
Epoch 0 Batch 395/538 - Train Accuracy: 0.622, Validation Accuracy: 0.649, Loss: 0.551
Epoch 0 Batch 396/538 - Train Accuracy: 0.615, Validation Accuracy: 0.637, Loss: 0.543
Epoch 0 Batch 397/538 - Train Accuracy: 0.627, Validation Accuracy: 0.642, Loss: 0.540
Epoch 0 Batch 398/538 - Train Accuracy: 0.626, Validation Accuracy: 0.645, Loss: 0.543
Epoch 0 Batch 399/538 - Train Accuracy: 0.608, Validation Accuracy: 0.639, Loss: 0.546
Epoch 0 Batch 400/538 - Train Accuracy: 0.626, Validation Accuracy: 0.637, Loss: 0.521
Epoch 0 Batch 401/538 - Train Accuracy: 0.630, Validation Accuracy: 0.634, Loss: 0.541
Epoch 0 Batch 402/538 - Train Accuracy: 0.652, Validation Accuracy: 0.650, Loss: 0.533
Epoch 0 Batch 403/538 - Train Accuracy: 0.637, Validation Accuracy: 0.649, Loss: 0.536
Epoch 0 Batch 404/538 - Train Accuracy: 0.643, Validation Accuracy: 0.649, Loss: 0.511
Epoch 0 Batch 405/538 - Train Accuracy: 0.645, Validation Accuracy: 0.652, Loss: 0.509
Epoch 0 Batch 406/538 - Train Accuracy: 0.642, Validation Accuracy: 0.649, Loss: 0.506
Epoch 0 Batch 407/538 - Train Accuracy: 0.634, Validation Accuracy: 0.642, Loss: 0.533
Epoch 0 Batch 408/538 - Train Accuracy: 0.599, Validation Accuracy: 0.635, Loss: 0.540
Epoch 0 Batch 409/538 - Train Accuracy: 0.619, Validation Accuracy: 0.640, Loss: 0.543
Epoch 0 Batch 410/538 - Train Accuracy: 0.642, Validation Accuracy: 0.647, Loss: 0.523
Epoch 0 Batch 411/538 - Train Accuracy: 0.642, Validation Accuracy: 0.640, Loss: 0.496
Epoch 0 Batch 412/538 - Train Accuracy: 0.639, Validation Accuracy: 0.636, Loss: 0.503
Epoch 0 Batch 413/538 - Train Accuracy: 0.631, Validation Accuracy: 0.640, Loss: 0.516
Epoch 0 Batch 414/538 - Train Accuracy: 0.622, Validation Accuracy: 0.648, Loss: 0.530
Epoch 0 Batch 415/538 - Train Accuracy: 0.609, Validation Accuracy: 0.650, Loss: 0.535
Epoch 0 Batch 416/538 - Train Accuracy: 0.680, Validation Accuracy: 0.643, Loss: 0.492
Epoch 0 Batch 417/538 - Train Accuracy: 0.647, Validation Accuracy: 0.650, Loss: 0.512
Epoch 0 Batch 418/538 - Train Accuracy: 0.629, Validation Accuracy: 0.650, Loss: 0.525
Epoch 0 Batch 419/538 - Train Accuracy: 0.647, Validation Accuracy: 0.645, Loss: 0.509
Epoch 0 Batch 420/538 - Train Accuracy: 0.636, Validation Accuracy: 0.634, Loss: 0.516
Epoch 0 Batch 421/538 - Train Accuracy: 0.646, Validation Accuracy: 0.638, Loss: 0.485
Epoch 0 Batch 422/538 - Train Accuracy: 0.632, Validation Accuracy: 0.655, Loss: 0.513
Epoch 0 Batch 423/538 - Train Accuracy: 0.645, Validation Accuracy: 0.643, Loss: 0.521
Epoch 0 Batch 424/538 - Train Accuracy: 0.623, Validation Accuracy: 0.640, Loss: 0.505
Epoch 0 Batch 425/538 - Train Accuracy: 0.638, Validation Accuracy: 0.647, Loss: 0.501
Epoch 0 Batch 426/538 - Train Accuracy: 0.661, Validation Accuracy: 0.651, Loss: 0.499
Epoch 0 Batch 427/538 - Train Accuracy: 0.624, Validation Accuracy: 0.644, Loss: 0.522
Epoch 0 Batch 428/538 - Train Accuracy: 0.668, Validation Accuracy: 0.650, Loss: 0.487
Epoch 0 Batch 429/538 - Train Accuracy: 0.651, Validation Accuracy: 0.645, Loss: 0.495
Epoch 0 Batch 430/538 - Train Accuracy: 0.651, Validation Accuracy: 0.655, Loss: 0.511
Epoch 0 Batch 431/538 - Train Accuracy: 0.642, Validation Accuracy: 0.646, Loss: 0.506
Epoch 0 Batch 432/538 - Train Accuracy: 0.678, Validation Accuracy: 0.649, Loss: 0.468
Epoch 0 Batch 433/538 - Train Accuracy: 0.620, Validation Accuracy: 0.657, Loss: 0.527
Epoch 0 Batch 434/538 - Train Accuracy: 0.632, Validation Accuracy: 0.651, Loss: 0.501
Epoch 0 Batch 435/538 - Train Accuracy: 0.611, Validation Accuracy: 0.649, Loss: 0.503
Epoch 0 Batch 436/538 - Train Accuracy: 0.625, Validation Accuracy: 0.654, Loss: 0.514
Epoch 0 Batch 437/538 - Train Accuracy: 0.617, Validation Accuracy: 0.645, Loss: 0.507
Epoch 0 Batch 438/538 - Train Accuracy: 0.655, Validation Accuracy: 0.650, Loss: 0.494
Epoch 0 Batch 439/538 - Train Accuracy: 0.672, Validation Accuracy: 0.656, Loss: 0.491
Epoch 0 Batch 440/538 - Train Accuracy: 0.630, Validation Accuracy: 0.661, Loss: 0.522
Epoch 0 Batch 441/538 - Train Accuracy: 0.628, Validation Accuracy: 0.656, Loss: 0.506
Epoch 0 Batch 442/538 - Train Accuracy: 0.640, Validation Accuracy: 0.657, Loss: 0.445
Epoch 0 Batch 443/538 - Train Accuracy: 0.659, Validation Accuracy: 0.648, Loss: 0.486
Epoch 0 Batch 444/538 - Train Accuracy: 0.704, Validation Accuracy: 0.664, Loss: 0.467
Epoch 0 Batch 445/538 - Train Accuracy: 0.661, Validation Accuracy: 0.656, Loss: 0.475
Epoch 0 Batch 446/538 - Train Accuracy: 0.669, Validation Accuracy: 0.653, Loss: 0.479
Epoch 0 Batch 447/538 - Train Accuracy: 0.632, Validation Accuracy: 0.657, Loss: 0.497
Epoch 0 Batch 448/538 - Train Accuracy: 0.671, Validation Accuracy: 0.659, Loss: 0.471
Epoch 0 Batch 449/538 - Train Accuracy: 0.640, Validation Accuracy: 0.663, Loss: 0.501
Epoch 0 Batch 450/538 - Train Accuracy: 0.653, Validation Accuracy: 0.657, Loss: 0.490
Epoch 0 Batch 451/538 - Train Accuracy: 0.650, Validation Accuracy: 0.659, Loss: 0.486
Epoch 0 Batch 452/538 - Train Accuracy: 0.649, Validation Accuracy: 0.651, Loss: 0.474
Epoch 0 Batch 453/538 - Train Accuracy: 0.641, Validation Accuracy: 0.654, Loss: 0.485
Epoch 0 Batch 454/538 - Train Accuracy: 0.656, Validation Accuracy: 0.656, Loss: 0.467
Epoch 0 Batch 455/538 - Train Accuracy: 0.667, Validation Accuracy: 0.670, Loss: 0.448
Epoch 0 Batch 456/538 - Train Accuracy: 0.705, Validation Accuracy: 0.665, Loss: 0.434
Epoch 0 Batch 457/538 - Train Accuracy: 0.655, Validation Accuracy: 0.668, Loss: 0.498
Epoch 0 Batch 458/538 - Train Accuracy: 0.647, Validation Accuracy: 0.668, Loss: 0.454
Epoch 0 Batch 459/538 - Train Accuracy: 0.677, Validation Accuracy: 0.662, Loss: 0.483
Epoch 0 Batch 460/538 - Train Accuracy: 0.632, Validation Accuracy: 0.664, Loss: 0.464
Epoch 0 Batch 461/538 - Train Accuracy: 0.610, Validation Accuracy: 0.660, Loss: 0.510
Epoch 0 Batch 462/538 - Train Accuracy: 0.647, Validation Accuracy: 0.662, Loss: 0.474
Epoch 0 Batch 463/538 - Train Accuracy: 0.618, Validation Accuracy: 0.652, Loss: 0.487
Epoch 0 Batch 464/538 - Train Accuracy: 0.593, Validation Accuracy: 0.631, Loss: 0.477
Epoch 0 Batch 465/538 - Train Accuracy: 0.601, Validation Accuracy: 0.620, Loss: 0.492
Epoch 0 Batch 466/538 - Train Accuracy: 0.624, Validation Accuracy: 0.620, Loss: 0.496
Epoch 0 Batch 467/538 - Train Accuracy: 0.649, Validation Accuracy: 0.644, Loss: 0.473
Epoch 0 Batch 468/538 - Train Accuracy: 0.677, Validation Accuracy: 0.658, Loss: 0.479
Epoch 0 Batch 469/538 - Train Accuracy: 0.651, Validation Accuracy: 0.659, Loss: 0.478
Epoch 0 Batch 470/538 - Train Accuracy: 0.669, Validation Accuracy: 0.662, Loss: 0.463
Epoch 0 Batch 471/538 - Train Accuracy: 0.665, Validation Accuracy: 0.659, Loss: 0.463
Epoch 0 Batch 472/538 - Train Accuracy: 0.687, Validation Accuracy: 0.668, Loss: 0.461
Epoch 0 Batch 473/538 - Train Accuracy: 0.639, Validation Accuracy: 0.664, Loss: 0.485
Epoch 0 Batch 474/538 - Train Accuracy: 0.648, Validation Accuracy: 0.657, Loss: 0.443
Epoch 0 Batch 475/538 - Train Accuracy: 0.658, Validation Accuracy: 0.667, Loss: 0.464
Epoch 0 Batch 476/538 - Train Accuracy: 0.622, Validation Accuracy: 0.665, Loss: 0.473
Epoch 0 Batch 477/538 - Train Accuracy: 0.677, Validation Accuracy: 0.667, Loss: 0.463
Epoch 0 Batch 478/538 - Train Accuracy: 0.684, Validation Accuracy: 0.649, Loss: 0.438
Epoch 0 Batch 479/538 - Train Accuracy: 0.666, Validation Accuracy: 0.630, Loss: 0.437
Epoch 0 Batch 480/538 - Train Accuracy: 0.633, Validation Accuracy: 0.633, Loss: 0.455
Epoch 0 Batch 481/538 - Train Accuracy: 0.678, Validation Accuracy: 0.638, Loss: 0.435
Epoch 0 Batch 482/538 - Train Accuracy: 0.674, Validation Accuracy: 0.652, Loss: 0.409
Epoch 0 Batch 483/538 - Train Accuracy: 0.631, Validation Accuracy: 0.654, Loss: 0.473
Epoch 0 Batch 484/538 - Train Accuracy: 0.677, Validation Accuracy: 0.662, Loss: 0.455
Epoch 0 Batch 485/538 - Train Accuracy: 0.646, Validation Accuracy: 0.657, Loss: 0.447
Epoch 0 Batch 486/538 - Train Accuracy: 0.648, Validation Accuracy: 0.661, Loss: 0.442
Epoch 0 Batch 487/538 - Train Accuracy: 0.674, Validation Accuracy: 0.661, Loss: 0.429
Epoch 0 Batch 488/538 - Train Accuracy: 0.682, Validation Accuracy: 0.674, Loss: 0.446
Epoch 0 Batch 489/538 - Train Accuracy: 0.647, Validation Accuracy: 0.666, Loss: 0.475
Epoch 0 Batch 490/538 - Train Accuracy: 0.656, Validation Accuracy: 0.669, Loss: 0.454
Epoch 0 Batch 491/538 - Train Accuracy: 0.637, Validation Accuracy: 0.661, Loss: 0.474
Epoch 0 Batch 492/538 - Train Accuracy: 0.647, Validation Accuracy: 0.667, Loss: 0.461
Epoch 0 Batch 493/538 - Train Accuracy: 0.637, Validation Accuracy: 0.668, Loss: 0.440
Epoch 0 Batch 494/538 - Train Accuracy: 0.644, Validation Accuracy: 0.672, Loss: 0.466
Epoch 0 Batch 495/538 - Train Accuracy: 0.661, Validation Accuracy: 0.662, Loss: 0.460
Epoch 0 Batch 496/538 - Train Accuracy: 0.649, Validation Accuracy: 0.661, Loss: 0.439
Epoch 0 Batch 497/538 - Train Accuracy: 0.671, Validation Accuracy: 0.666, Loss: 0.432
Epoch 0 Batch 498/538 - Train Accuracy: 0.635, Validation Accuracy: 0.641, Loss: 0.450
Epoch 0 Batch 499/538 - Train Accuracy: 0.680, Validation Accuracy: 0.646, Loss: 0.427
Epoch 0 Batch 500/538 - Train Accuracy: 0.676, Validation Accuracy: 0.664, Loss: 0.403
Epoch 0 Batch 501/538 - Train Accuracy: 0.680, Validation Accuracy: 0.668, Loss: 0.436
Epoch 0 Batch 502/538 - Train Accuracy: 0.649, Validation Accuracy: 0.672, Loss: 0.447
Epoch 0 Batch 503/538 - Train Accuracy: 0.688, Validation Accuracy: 0.670, Loss: 0.433
Epoch 0 Batch 504/538 - Train Accuracy: 0.660, Validation Accuracy: 0.664, Loss: 0.430
Epoch 0 Batch 505/538 - Train Accuracy: 0.676, Validation Accuracy: 0.659, Loss: 0.432
Epoch 0 Batch 506/538 - Train Accuracy: 0.680, Validation Accuracy: 0.683, Loss: 0.436
Epoch 0 Batch 507/538 - Train Accuracy: 0.640, Validation Accuracy: 0.678, Loss: 0.454
Epoch 0 Batch 508/538 - Train Accuracy: 0.664, Validation Accuracy: 0.663, Loss: 0.415
Epoch 0 Batch 509/538 - Train Accuracy: 0.639, Validation Accuracy: 0.661, Loss: 0.448
Epoch 0 Batch 510/538 - Train Accuracy: 0.669, Validation Accuracy: 0.677, Loss: 0.436
Epoch 0 Batch 511/538 - Train Accuracy: 0.693, Validation Accuracy: 0.681, Loss: 0.413
Epoch 0 Batch 512/538 - Train Accuracy: 0.690, Validation Accuracy: 0.690, Loss: 0.421
Epoch 0 Batch 513/538 - Train Accuracy: 0.643, Validation Accuracy: 0.667, Loss: 0.441
Epoch 0 Batch 514/538 - Train Accuracy: 0.660, Validation Accuracy: 0.658, Loss: 0.439
Epoch 0 Batch 515/538 - Train Accuracy: 0.653, Validation Accuracy: 0.651, Loss: 0.432
Epoch 0 Batch 516/538 - Train Accuracy: 0.618, Validation Accuracy: 0.640, Loss: 0.442
Epoch 0 Batch 517/538 - Train Accuracy: 0.649, Validation Accuracy: 0.632, Loss: 0.422
Epoch 0 Batch 518/538 - Train Accuracy: 0.644, Validation Accuracy: 0.632, Loss: 0.448
Epoch 0 Batch 519/538 - Train Accuracy: 0.669, Validation Accuracy: 0.653, Loss: 0.409
Epoch 0 Batch 520/538 - Train Accuracy: 0.655, Validation Accuracy: 0.654, Loss: 0.442
Epoch 0 Batch 521/538 - Train Accuracy: 0.669, Validation Accuracy: 0.659, Loss: 0.443
Epoch 0 Batch 522/538 - Train Accuracy: 0.638, Validation Accuracy: 0.638, Loss: 0.445
Epoch 0 Batch 523/538 - Train Accuracy: 0.646, Validation Accuracy: 0.669, Loss: 0.443
Epoch 0 Batch 524/538 - Train Accuracy: 0.625, Validation Accuracy: 0.670, Loss: 0.453
Epoch 0 Batch 525/538 - Train Accuracy: 0.704, Validation Accuracy: 0.655, Loss: 0.403
Epoch 0 Batch 526/538 - Train Accuracy: 0.672, Validation Accuracy: 0.672, Loss: 0.409
Epoch 0 Batch 527/538 - Train Accuracy: 0.684, Validation Accuracy: 0.654, Loss: 0.422
Epoch 0 Batch 528/538 - Train Accuracy: 0.672, Validation Accuracy: 0.659, Loss: 0.454
Epoch 0 Batch 529/538 - Train Accuracy: 0.661, Validation Accuracy: 0.659, Loss: 0.408
Epoch 0 Batch 530/538 - Train Accuracy: 0.653, Validation Accuracy: 0.666, Loss: 0.442
Epoch 0 Batch 531/538 - Train Accuracy: 0.631, Validation Accuracy: 0.634, Loss: 0.431
Epoch 0 Batch 532/538 - Train Accuracy: 0.653, Validation Accuracy: 0.662, Loss: 0.422
Epoch 0 Batch 533/538 - Train Accuracy: 0.687, Validation Accuracy: 0.652, Loss: 0.439
Epoch 0 Batch 534/538 - Train Accuracy: 0.639, Validation Accuracy: 0.627, Loss: 0.398
Epoch 0 Batch 535/538 - Train Accuracy: 0.660, Validation Accuracy: 0.661, Loss: 0.413
Epoch 0 Batch 536/538 - Train Accuracy: 0.676, Validation Accuracy: 0.669, Loss: 0.419
Epoch 1 Batch 0/538 - Train Accuracy: 0.661, Validation Accuracy: 0.663, Loss: 0.424
Epoch 1 Batch 1/538 - Train Accuracy: 0.668, Validation Accuracy: 0.662, Loss: 0.421
Epoch 1 Batch 2/538 - Train Accuracy: 0.660, Validation Accuracy: 0.664, Loss: 0.423
Epoch 1 Batch 3/538 - Train Accuracy: 0.657, Validation Accuracy: 0.692, Loss: 0.425
Epoch 1 Batch 4/538 - Train Accuracy: 0.703, Validation Accuracy: 0.678, Loss: 0.408
Epoch 1 Batch 5/538 - Train Accuracy: 0.659, Validation Accuracy: 0.660, Loss: 0.420
Epoch 1 Batch 6/538 - Train Accuracy: 0.705, Validation Accuracy: 0.674, Loss: 0.399
Epoch 1 Batch 7/538 - Train Accuracy: 0.690, Validation Accuracy: 0.686, Loss: 0.407
Epoch 1 Batch 8/538 - Train Accuracy: 0.703, Validation Accuracy: 0.665, Loss: 0.422
Epoch 1 Batch 9/538 - Train Accuracy: 0.683, Validation Accuracy: 0.665, Loss: 0.408
Epoch 1 Batch 10/538 - Train Accuracy: 0.656, Validation Accuracy: 0.681, Loss: 0.429
Epoch 1 Batch 11/538 - Train Accuracy: 0.687, Validation Accuracy: 0.664, Loss: 0.416
Epoch 1 Batch 12/538 - Train Accuracy: 0.690, Validation Accuracy: 0.667, Loss: 0.416
Epoch 1 Batch 13/538 - Train Accuracy: 0.719, Validation Accuracy: 0.684, Loss: 0.379
Epoch 1 Batch 14/538 - Train Accuracy: 0.669, Validation Accuracy: 0.663, Loss: 0.410
Epoch 1 Batch 15/538 - Train Accuracy: 0.695, Validation Accuracy: 0.674, Loss: 0.382
Epoch 1 Batch 16/538 - Train Accuracy: 0.707, Validation Accuracy: 0.680, Loss: 0.387
Epoch 1 Batch 17/538 - Train Accuracy: 0.670, Validation Accuracy: 0.665, Loss: 0.394
Epoch 1 Batch 18/538 - Train Accuracy: 0.691, Validation Accuracy: 0.701, Loss: 0.429
Epoch 1 Batch 19/538 - Train Accuracy: 0.692, Validation Accuracy: 0.699, Loss: 0.417
Epoch 1 Batch 20/538 - Train Accuracy: 0.655, Validation Accuracy: 0.689, Loss: 0.409
Epoch 1 Batch 21/538 - Train Accuracy: 0.712, Validation Accuracy: 0.697, Loss: 0.414
Epoch 1 Batch 22/538 - Train Accuracy: 0.707, Validation Accuracy: 0.706, Loss: 0.393
Epoch 1 Batch 23/538 - Train Accuracy: 0.717, Validation Accuracy: 0.706, Loss: 0.401
Epoch 1 Batch 24/538 - Train Accuracy: 0.695, Validation Accuracy: 0.701, Loss: 0.377
Epoch 1 Batch 25/538 - Train Accuracy: 0.722, Validation Accuracy: 0.704, Loss: 0.388
Epoch 1 Batch 26/538 - Train Accuracy: 0.677, Validation Accuracy: 0.690, Loss: 0.404
Epoch 1 Batch 27/538 - Train Accuracy: 0.708, Validation Accuracy: 0.699, Loss: 0.379
Epoch 1 Batch 28/538 - Train Accuracy: 0.712, Validation Accuracy: 0.706, Loss: 0.349
Epoch 1 Batch 29/538 - Train Accuracy: 0.703, Validation Accuracy: 0.685, Loss: 0.371
Epoch 1 Batch 30/538 - Train Accuracy: 0.693, Validation Accuracy: 0.695, Loss: 0.403
Epoch 1 Batch 31/538 - Train Accuracy: 0.688, Validation Accuracy: 0.684, Loss: 0.358
Epoch 1 Batch 32/538 - Train Accuracy: 0.691, Validation Accuracy: 0.690, Loss: 0.363
Epoch 1 Batch 33/538 - Train Accuracy: 0.721, Validation Accuracy: 0.709, Loss: 0.372
Epoch 1 Batch 34/538 - Train Accuracy: 0.723, Validation Accuracy: 0.715, Loss: 0.372
Epoch 1 Batch 35/538 - Train Accuracy: 0.704, Validation Accuracy: 0.685, Loss: 0.380
Epoch 1 Batch 36/538 - Train Accuracy: 0.715, Validation Accuracy: 0.696, Loss: 0.367
Epoch 1 Batch 37/538 - Train Accuracy: 0.711, Validation Accuracy: 0.708, Loss: 0.384
Epoch 1 Batch 38/538 - Train Accuracy: 0.684, Validation Accuracy: 0.693, Loss: 0.382
Epoch 1 Batch 39/538 - Train Accuracy: 0.694, Validation Accuracy: 0.706, Loss: 0.373
Epoch 1 Batch 40/538 - Train Accuracy: 0.750, Validation Accuracy: 0.708, Loss: 0.329
Epoch 1 Batch 41/538 - Train Accuracy: 0.700, Validation Accuracy: 0.710, Loss: 0.377
Epoch 1 Batch 42/538 - Train Accuracy: 0.724, Validation Accuracy: 0.719, Loss: 0.367
Epoch 1 Batch 43/538 - Train Accuracy: 0.696, Validation Accuracy: 0.700, Loss: 0.386
Epoch 1 Batch 44/538 - Train Accuracy: 0.705, Validation Accuracy: 0.702, Loss: 0.393
Epoch 1 Batch 45/538 - Train Accuracy: 0.719, Validation Accuracy: 0.714, Loss: 0.351
Epoch 1 Batch 46/538 - Train Accuracy: 0.694, Validation Accuracy: 0.703, Loss: 0.363
Epoch 1 Batch 47/538 - Train Accuracy: 0.713, Validation Accuracy: 0.710, Loss: 0.364
Epoch 1 Batch 48/538 - Train Accuracy: 0.739, Validation Accuracy: 0.708, Loss: 0.334
Epoch 1 Batch 49/538 - Train Accuracy: 0.678, Validation Accuracy: 0.692, Loss: 0.377
Epoch 1 Batch 50/538 - Train Accuracy: 0.722, Validation Accuracy: 0.706, Loss: 0.371
Epoch 1 Batch 51/538 - Train Accuracy: 0.675, Validation Accuracy: 0.695, Loss: 0.396
Epoch 1 Batch 52/538 - Train Accuracy: 0.726, Validation Accuracy: 0.685, Loss: 0.368
Epoch 1 Batch 53/538 - Train Accuracy: 0.745, Validation Accuracy: 0.711, Loss: 0.333
Epoch 1 Batch 54/538 - Train Accuracy: 0.728, Validation Accuracy: 0.697, Loss: 0.349
Epoch 1 Batch 55/538 - Train Accuracy: 0.728, Validation Accuracy: 0.691, Loss: 0.350
Epoch 1 Batch 56/538 - Train Accuracy: 0.713, Validation Accuracy: 0.700, Loss: 0.346
Epoch 1 Batch 57/538 - Train Accuracy: 0.683, Validation Accuracy: 0.710, Loss: 0.381
Epoch 1 Batch 58/538 - Train Accuracy: 0.694, Validation Accuracy: 0.719, Loss: 0.378
Epoch 1 Batch 59/538 - Train Accuracy: 0.691, Validation Accuracy: 0.708, Loss: 0.377
Epoch 1 Batch 60/538 - Train Accuracy: 0.750, Validation Accuracy: 0.716, Loss: 0.356
Epoch 1 Batch 61/538 - Train Accuracy: 0.712, Validation Accuracy: 0.720, Loss: 0.362
Epoch 1 Batch 62/538 - Train Accuracy: 0.718, Validation Accuracy: 0.706, Loss: 0.345
Epoch 1 Batch 63/538 - Train Accuracy: 0.749, Validation Accuracy: 0.720, Loss: 0.332
Epoch 1 Batch 64/538 - Train Accuracy: 0.733, Validation Accuracy: 0.712, Loss: 0.335
Epoch 1 Batch 65/538 - Train Accuracy: 0.688, Validation Accuracy: 0.710, Loss: 0.358
Epoch 1 Batch 66/538 - Train Accuracy: 0.722, Validation Accuracy: 0.702, Loss: 0.324
Epoch 1 Batch 67/538 - Train Accuracy: 0.750, Validation Accuracy: 0.706, Loss: 0.341
Epoch 1 Batch 68/538 - Train Accuracy: 0.739, Validation Accuracy: 0.718, Loss: 0.336
Epoch 1 Batch 69/538 - Train Accuracy: 0.722, Validation Accuracy: 0.716, Loss: 0.352
Epoch 1 Batch 70/538 - Train Accuracy: 0.745, Validation Accuracy: 0.719, Loss: 0.332
Epoch 1 Batch 71/538 - Train Accuracy: 0.717, Validation Accuracy: 0.719, Loss: 0.353
Epoch 1 Batch 72/538 - Train Accuracy: 0.757, Validation Accuracy: 0.714, Loss: 0.360
Epoch 1 Batch 73/538 - Train Accuracy: 0.706, Validation Accuracy: 0.723, Loss: 0.348
Epoch 1 Batch 74/538 - Train Accuracy: 0.731, Validation Accuracy: 0.714, Loss: 0.328
Epoch 1 Batch 75/538 - Train Accuracy: 0.736, Validation Accuracy: 0.711, Loss: 0.318
Epoch 1 Batch 76/538 - Train Accuracy: 0.740, Validation Accuracy: 0.723, Loss: 0.343
Epoch 1 Batch 77/538 - Train Accuracy: 0.715, Validation Accuracy: 0.709, Loss: 0.335
Epoch 1 Batch 78/538 - Train Accuracy: 0.724, Validation Accuracy: 0.718, Loss: 0.329
Epoch 1 Batch 79/538 - Train Accuracy: 0.742, Validation Accuracy: 0.714, Loss: 0.329
Epoch 1 Batch 80/538 - Train Accuracy: 0.713, Validation Accuracy: 0.724, Loss: 0.355
Epoch 1 Batch 81/538 - Train Accuracy: 0.730, Validation Accuracy: 0.704, Loss: 0.350
Epoch 1 Batch 82/538 - Train Accuracy: 0.712, Validation Accuracy: 0.719, Loss: 0.349
Epoch 1 Batch 83/538 - Train Accuracy: 0.703, Validation Accuracy: 0.719, Loss: 0.358
Epoch 1 Batch 84/538 - Train Accuracy: 0.688, Validation Accuracy: 0.711, Loss: 0.337
Epoch 1 Batch 85/538 - Train Accuracy: 0.745, Validation Accuracy: 0.707, Loss: 0.305
Epoch 1 Batch 86/538 - Train Accuracy: 0.772, Validation Accuracy: 0.737, Loss: 0.335
Epoch 1 Batch 87/538 - Train Accuracy: 0.744, Validation Accuracy: 0.727, Loss: 0.332
Epoch 1 Batch 88/538 - Train Accuracy: 0.757, Validation Accuracy: 0.708, Loss: 0.318
Epoch 1 Batch 89/538 - Train Accuracy: 0.736, Validation Accuracy: 0.723, Loss: 0.319
Epoch 1 Batch 90/538 - Train Accuracy: 0.733, Validation Accuracy: 0.719, Loss: 0.330
Epoch 1 Batch 91/538 - Train Accuracy: 0.751, Validation Accuracy: 0.715, Loss: 0.328
Epoch 1 Batch 92/538 - Train Accuracy: 0.713, Validation Accuracy: 0.719, Loss: 0.332
Epoch 1 Batch 93/538 - Train Accuracy: 0.745, Validation Accuracy: 0.737, Loss: 0.339
Epoch 1 Batch 94/538 - Train Accuracy: 0.740, Validation Accuracy: 0.722, Loss: 0.313
Epoch 1 Batch 95/538 - Train Accuracy: 0.759, Validation Accuracy: 0.725, Loss: 0.299
Epoch 1 Batch 96/538 - Train Accuracy: 0.762, Validation Accuracy: 0.724, Loss: 0.294
Epoch 1 Batch 97/538 - Train Accuracy: 0.746, Validation Accuracy: 0.724, Loss: 0.325
Epoch 1 Batch 98/538 - Train Accuracy: 0.787, Validation Accuracy: 0.736, Loss: 0.295
Epoch 1 Batch 99/538 - Train Accuracy: 0.738, Validation Accuracy: 0.727, Loss: 0.304
Epoch 1 Batch 100/538 - Train Accuracy: 0.749, Validation Accuracy: 0.727, Loss: 0.301
Epoch 1 Batch 101/538 - Train Accuracy: 0.708, Validation Accuracy: 0.713, Loss: 0.330
Epoch 1 Batch 102/538 - Train Accuracy: 0.762, Validation Accuracy: 0.744, Loss: 0.305
Epoch 1 Batch 103/538 - Train Accuracy: 0.732, Validation Accuracy: 0.707, Loss: 0.310
Epoch 1 Batch 104/538 - Train Accuracy: 0.749, Validation Accuracy: 0.716, Loss: 0.296
Epoch 1 Batch 105/538 - Train Accuracy: 0.755, Validation Accuracy: 0.730, Loss: 0.296
Epoch 1 Batch 106/538 - Train Accuracy: 0.736, Validation Accuracy: 0.747, Loss: 0.289
Epoch 1 Batch 107/538 - Train Accuracy: 0.725, Validation Accuracy: 0.749, Loss: 0.312
Epoch 1 Batch 108/538 - Train Accuracy: 0.777, Validation Accuracy: 0.758, Loss: 0.305
Epoch 1 Batch 109/538 - Train Accuracy: 0.792, Validation Accuracy: 0.749, Loss: 0.288
Epoch 1 Batch 110/538 - Train Accuracy: 0.767, Validation Accuracy: 0.741, Loss: 0.290
Epoch 1 Batch 111/538 - Train Accuracy: 0.763, Validation Accuracy: 0.747, Loss: 0.289
Epoch 1 Batch 112/538 - Train Accuracy: 0.728, Validation Accuracy: 0.749, Loss: 0.299
Epoch 1 Batch 113/538 - Train Accuracy: 0.734, Validation Accuracy: 0.749, Loss: 0.313
Epoch 1 Batch 114/538 - Train Accuracy: 0.784, Validation Accuracy: 0.749, Loss: 0.277
Epoch 1 Batch 115/538 - Train Accuracy: 0.779, Validation Accuracy: 0.745, Loss: 0.301
Epoch 1 Batch 116/538 - Train Accuracy: 0.776, Validation Accuracy: 0.765, Loss: 0.300
Epoch 1 Batch 117/538 - Train Accuracy: 0.774, Validation Accuracy: 0.753, Loss: 0.280
Epoch 1 Batch 118/538 - Train Accuracy: 0.788, Validation Accuracy: 0.759, Loss: 0.268
Epoch 1 Batch 119/538 - Train Accuracy: 0.781, Validation Accuracy: 0.757, Loss: 0.256
Epoch 1 Batch 120/538 - Train Accuracy: 0.744, Validation Accuracy: 0.727, Loss: 0.268
Epoch 1 Batch 121/538 - Train Accuracy: 0.744, Validation Accuracy: 0.744, Loss: 0.289
Epoch 1 Batch 122/538 - Train Accuracy: 0.724, Validation Accuracy: 0.715, Loss: 0.290
Epoch 1 Batch 123/538 - Train Accuracy: 0.799, Validation Accuracy: 0.749, Loss: 0.273
Epoch 1 Batch 124/538 - Train Accuracy: 0.811, Validation Accuracy: 0.742, Loss: 0.252
Epoch 1 Batch 125/538 - Train Accuracy: 0.769, Validation Accuracy: 0.745, Loss: 0.278
Epoch 1 Batch 126/538 - Train Accuracy: 0.789, Validation Accuracy: 0.763, Loss: 0.270
Epoch 1 Batch 127/538 - Train Accuracy: 0.746, Validation Accuracy: 0.762, Loss: 0.294
Epoch 1 Batch 128/538 - Train Accuracy: 0.780, Validation Accuracy: 0.763, Loss: 0.280
Epoch 1 Batch 129/538 - Train Accuracy: 0.755, Validation Accuracy: 0.766, Loss: 0.266
Epoch 1 Batch 130/538 - Train Accuracy: 0.766, Validation Accuracy: 0.752, Loss: 0.266
Epoch 1 Batch 131/538 - Train Accuracy: 0.766, Validation Accuracy: 0.754, Loss: 0.287
Epoch 1 Batch 132/538 - Train Accuracy: 0.719, Validation Accuracy: 0.741, Loss: 0.272
Epoch 1 Batch 133/538 - Train Accuracy: 0.773, Validation Accuracy: 0.759, Loss: 0.260
Epoch 1 Batch 134/538 - Train Accuracy: 0.747, Validation Accuracy: 0.759, Loss: 0.292
Epoch 1 Batch 135/538 - Train Accuracy: 0.759, Validation Accuracy: 0.765, Loss: 0.282
Epoch 1 Batch 136/538 - Train Accuracy: 0.778, Validation Accuracy: 0.773, Loss: 0.272
Epoch 1 Batch 137/538 - Train Accuracy: 0.773, Validation Accuracy: 0.774, Loss: 0.268
Epoch 1 Batch 138/538 - Train Accuracy: 0.802, Validation Accuracy: 0.774, Loss: 0.269
Epoch 1 Batch 139/538 - Train Accuracy: 0.748, Validation Accuracy: 0.766, Loss: 0.287
Epoch 1 Batch 140/538 - Train Accuracy: 0.758, Validation Accuracy: 0.756, Loss: 0.296
Epoch 1 Batch 141/538 - Train Accuracy: 0.795, Validation Accuracy: 0.772, Loss: 0.279
Epoch 1 Batch 142/538 - Train Accuracy: 0.775, Validation Accuracy: 0.757, Loss: 0.256
Epoch 1 Batch 143/538 - Train Accuracy: 0.758, Validation Accuracy: 0.757, Loss: 0.281
Epoch 1 Batch 144/538 - Train Accuracy: 0.800, Validation Accuracy: 0.763, Loss: 0.274
Epoch 1 Batch 145/538 - Train Accuracy: 0.768, Validation Accuracy: 0.770, Loss: 0.271
Epoch 1 Batch 146/538 - Train Accuracy: 0.777, Validation Accuracy: 0.765, Loss: 0.255
Epoch 1 Batch 147/538 - Train Accuracy: 0.812, Validation Accuracy: 0.780, Loss: 0.246
Epoch 1 Batch 148/538 - Train Accuracy: 0.762, Validation Accuracy: 0.758, Loss: 0.275
Epoch 1 Batch 149/538 - Train Accuracy: 0.805, Validation Accuracy: 0.762, Loss: 0.250
Epoch 1 Batch 150/538 - Train Accuracy: 0.777, Validation Accuracy: 0.785, Loss: 0.254
Epoch 1 Batch 151/538 - Train Accuracy: 0.765, Validation Accuracy: 0.781, Loss: 0.260
Epoch 1 Batch 152/538 - Train Accuracy: 0.782, Validation Accuracy: 0.781, Loss: 0.242
Epoch 1 Batch 153/538 - Train Accuracy: 0.771, Validation Accuracy: 0.784, Loss: 0.258
Epoch 1 Batch 154/538 - Train Accuracy: 0.781, Validation Accuracy: 0.792, Loss: 0.239
Epoch 1 Batch 155/538 - Train Accuracy: 0.805, Validation Accuracy: 0.794, Loss: 0.245
Epoch 1 Batch 156/538 - Train Accuracy: 0.784, Validation Accuracy: 0.790, Loss: 0.237
Epoch 1 Batch 157/538 - Train Accuracy: 0.793, Validation Accuracy: 0.796, Loss: 0.230
Epoch 1 Batch 158/538 - Train Accuracy: 0.815, Validation Accuracy: 0.785, Loss: 0.253
Epoch 1 Batch 159/538 - Train Accuracy: 0.763, Validation Accuracy: 0.784, Loss: 0.267
Epoch 1 Batch 160/538 - Train Accuracy: 0.783, Validation Accuracy: 0.795, Loss: 0.241
Epoch 1 Batch 161/538 - Train Accuracy: 0.792, Validation Accuracy: 0.803, Loss: 0.247
Epoch 1 Batch 162/538 - Train Accuracy: 0.814, Validation Accuracy: 0.789, Loss: 0.233
Epoch 1 Batch 163/538 - Train Accuracy: 0.817, Validation Accuracy: 0.788, Loss: 0.253
Epoch 1 Batch 164/538 - Train Accuracy: 0.811, Validation Accuracy: 0.777, Loss: 0.247
Epoch 1 Batch 165/538 - Train Accuracy: 0.815, Validation Accuracy: 0.767, Loss: 0.225
Epoch 1 Batch 166/538 - Train Accuracy: 0.829, Validation Accuracy: 0.784, Loss: 0.232
Epoch 1 Batch 167/538 - Train Accuracy: 0.799, Validation Accuracy: 0.792, Loss: 0.255
Epoch 1 Batch 168/538 - Train Accuracy: 0.760, Validation Accuracy: 0.783, Loss: 0.272
Epoch 1 Batch 169/538 - Train Accuracy: 0.831, Validation Accuracy: 0.780, Loss: 0.236
Epoch 1 Batch 170/538 - Train Accuracy: 0.810, Validation Accuracy: 0.761, Loss: 0.238
Epoch 1 Batch 171/538 - Train Accuracy: 0.813, Validation Accuracy: 0.778, Loss: 0.247
Epoch 1 Batch 172/538 - Train Accuracy: 0.816, Validation Accuracy: 0.774, Loss: 0.229
Epoch 1 Batch 173/538 - Train Accuracy: 0.798, Validation Accuracy: 0.779, Loss: 0.221
Epoch 1 Batch 174/538 - Train Accuracy: 0.785, Validation Accuracy: 0.779, Loss: 0.235
Epoch 1 Batch 175/538 - Train Accuracy: 0.816, Validation Accuracy: 0.787, Loss: 0.228
Epoch 1 Batch 176/538 - Train Accuracy: 0.805, Validation Accuracy: 0.793, Loss: 0.240
Epoch 1 Batch 177/538 - Train Accuracy: 0.820, Validation Accuracy: 0.792, Loss: 0.217
Epoch 1 Batch 178/538 - Train Accuracy: 0.824, Validation Accuracy: 0.790, Loss: 0.214
Epoch 1 Batch 179/538 - Train Accuracy: 0.833, Validation Accuracy: 0.809, Loss: 0.225
Epoch 1 Batch 180/538 - Train Accuracy: 0.829, Validation Accuracy: 0.823, Loss: 0.219
Epoch 1 Batch 181/538 - Train Accuracy: 0.801, Validation Accuracy: 0.818, Loss: 0.245
Epoch 1 Batch 182/538 - Train Accuracy: 0.799, Validation Accuracy: 0.799, Loss: 0.217
Epoch 1 Batch 183/538 - Train Accuracy: 0.836, Validation Accuracy: 0.808, Loss: 0.205
Epoch 1 Batch 184/538 - Train Accuracy: 0.820, Validation Accuracy: 0.813, Loss: 0.204
Epoch 1 Batch 185/538 - Train Accuracy: 0.824, Validation Accuracy: 0.790, Loss: 0.204
Epoch 1 Batch 186/538 - Train Accuracy: 0.831, Validation Accuracy: 0.807, Loss: 0.217
Epoch 1 Batch 187/538 - Train Accuracy: 0.843, Validation Accuracy: 0.816, Loss: 0.209
Epoch 1 Batch 188/538 - Train Accuracy: 0.807, Validation Accuracy: 0.791, Loss: 0.204
Epoch 1 Batch 189/538 - Train Accuracy: 0.836, Validation Accuracy: 0.819, Loss: 0.223
Epoch 1 Batch 190/538 - Train Accuracy: 0.808, Validation Accuracy: 0.817, Loss: 0.241
Epoch 1 Batch 191/538 - Train Accuracy: 0.831, Validation Accuracy: 0.818, Loss: 0.222
Epoch 1 Batch 192/538 - Train Accuracy: 0.826, Validation Accuracy: 0.820, Loss: 0.202
Epoch 1 Batch 193/538 - Train Accuracy: 0.840, Validation Accuracy: 0.839, Loss: 0.212
Epoch 1 Batch 194/538 - Train Accuracy: 0.816, Validation Accuracy: 0.835, Loss: 0.222
Epoch 1 Batch 195/538 - Train Accuracy: 0.859, Validation Accuracy: 0.826, Loss: 0.204
Epoch 1 Batch 196/538 - Train Accuracy: 0.819, Validation Accuracy: 0.824, Loss: 0.207
Epoch 1 Batch 197/538 - Train Accuracy: 0.859, Validation Accuracy: 0.826, Loss: 0.201
Epoch 1 Batch 198/538 - Train Accuracy: 0.841, Validation Accuracy: 0.823, Loss: 0.195
Epoch 1 Batch 199/538 - Train Accuracy: 0.820, Validation Accuracy: 0.828, Loss: 0.206
Epoch 1 Batch 200/538 - Train Accuracy: 0.857, Validation Accuracy: 0.821, Loss: 0.192
Epoch 1 Batch 201/538 - Train Accuracy: 0.842, Validation Accuracy: 0.814, Loss: 0.201
Epoch 1 Batch 202/538 - Train Accuracy: 0.870, Validation Accuracy: 0.822, Loss: 0.201
Epoch 1 Batch 203/538 - Train Accuracy: 0.830, Validation Accuracy: 0.824, Loss: 0.214
Epoch 1 Batch 204/538 - Train Accuracy: 0.819, Validation Accuracy: 0.824, Loss: 0.215
Epoch 1 Batch 205/538 - Train Accuracy: 0.838, Validation Accuracy: 0.837, Loss: 0.190
Epoch 1 Batch 206/538 - Train Accuracy: 0.821, Validation Accuracy: 0.820, Loss: 0.204
Epoch 1 Batch 207/538 - Train Accuracy: 0.859, Validation Accuracy: 0.814, Loss: 0.195
Epoch 1 Batch 208/538 - Train Accuracy: 0.835, Validation Accuracy: 0.819, Loss: 0.210
Epoch 1 Batch 209/538 - Train Accuracy: 0.871, Validation Accuracy: 0.830, Loss: 0.187
Epoch 1 Batch 210/538 - Train Accuracy: 0.834, Validation Accuracy: 0.839, Loss: 0.193
Epoch 1 Batch 211/538 - Train Accuracy: 0.813, Validation Accuracy: 0.822, Loss: 0.210
Epoch 1 Batch 212/538 - Train Accuracy: 0.851, Validation Accuracy: 0.831, Loss: 0.193
Epoch 1 Batch 213/538 - Train Accuracy: 0.832, Validation Accuracy: 0.827, Loss: 0.182
Epoch 1 Batch 214/538 - Train Accuracy: 0.844, Validation Accuracy: 0.813, Loss: 0.199
Epoch 1 Batch 215/538 - Train Accuracy: 0.838, Validation Accuracy: 0.828, Loss: 0.201
Epoch 1 Batch 216/538 - Train Accuracy: 0.854, Validation Accuracy: 0.843, Loss: 0.207
Epoch 1 Batch 217/538 - Train Accuracy: 0.851, Validation Accuracy: 0.832, Loss: 0.187
Epoch 1 Batch 218/538 - Train Accuracy: 0.756, Validation Accuracy: 0.803, Loss: 0.203
Epoch 1 Batch 219/538 - Train Accuracy: 0.770, Validation Accuracy: 0.809, Loss: 0.259
Epoch 1 Batch 220/538 - Train Accuracy: 0.808, Validation Accuracy: 0.803, Loss: 0.196
Epoch 1 Batch 221/538 - Train Accuracy: 0.835, Validation Accuracy: 0.814, Loss: 0.193
Epoch 1 Batch 222/538 - Train Accuracy: 0.801, Validation Accuracy: 0.815, Loss: 0.193
Epoch 1 Batch 223/538 - Train Accuracy: 0.831, Validation Accuracy: 0.807, Loss: 0.213
Epoch 1 Batch 224/538 - Train Accuracy: 0.847, Validation Accuracy: 0.796, Loss: 0.214
Epoch 1 Batch 225/538 - Train Accuracy: 0.810, Validation Accuracy: 0.801, Loss: 0.191
Epoch 1 Batch 226/538 - Train Accuracy: 0.826, Validation Accuracy: 0.808, Loss: 0.195
Epoch 1 Batch 227/538 - Train Accuracy: 0.828, Validation Accuracy: 0.815, Loss: 0.188
Epoch 1 Batch 228/538 - Train Accuracy: 0.818, Validation Accuracy: 0.820, Loss: 0.192
Epoch 1 Batch 229/538 - Train Accuracy: 0.853, Validation Accuracy: 0.830, Loss: 0.191
Epoch 1 Batch 230/538 - Train Accuracy: 0.846, Validation Accuracy: 0.849, Loss: 0.196
Epoch 1 Batch 231/538 - Train Accuracy: 0.818, Validation Accuracy: 0.834, Loss: 0.186
Epoch 1 Batch 232/538 - Train Accuracy: 0.829, Validation Accuracy: 0.842, Loss: 0.207
Epoch 1 Batch 233/538 - Train Accuracy: 0.849, Validation Accuracy: 0.822, Loss: 0.179
Epoch 1 Batch 234/538 - Train Accuracy: 0.840, Validation Accuracy: 0.833, Loss: 0.204
Epoch 1 Batch 235/538 - Train Accuracy: 0.854, Validation Accuracy: 0.845, Loss: 0.172
Epoch 1 Batch 236/538 - Train Accuracy: 0.816, Validation Accuracy: 0.845, Loss: 0.193
Epoch 1 Batch 237/538 - Train Accuracy: 0.853, Validation Accuracy: 0.844, Loss: 0.178
Epoch 1 Batch 238/538 - Train Accuracy: 0.886, Validation Accuracy: 0.850, Loss: 0.169
Epoch 1 Batch 239/538 - Train Accuracy: 0.845, Validation Accuracy: 0.840, Loss: 0.177
Epoch 1 Batch 240/538 - Train Accuracy: 0.854, Validation Accuracy: 0.849, Loss: 0.182
Epoch 1 Batch 241/538 - Train Accuracy: 0.846, Validation Accuracy: 0.849, Loss: 0.191
Epoch 1 Batch 242/538 - Train Accuracy: 0.877, Validation Accuracy: 0.848, Loss: 0.172
Epoch 1 Batch 243/538 - Train Accuracy: 0.852, Validation Accuracy: 0.847, Loss: 0.191
Epoch 1 Batch 244/538 - Train Accuracy: 0.854, Validation Accuracy: 0.832, Loss: 0.167
Epoch 1 Batch 245/538 - Train Accuracy: 0.826, Validation Accuracy: 0.834, Loss: 0.188
Epoch 1 Batch 246/538 - Train Accuracy: 0.840, Validation Accuracy: 0.834, Loss: 0.163
Epoch 1 Batch 247/538 - Train Accuracy: 0.866, Validation Accuracy: 0.831, Loss: 0.171
Epoch 1 Batch 248/538 - Train Accuracy: 0.868, Validation Accuracy: 0.832, Loss: 0.167
Epoch 1 Batch 249/538 - Train Accuracy: 0.866, Validation Accuracy: 0.832, Loss: 0.159
Epoch 1 Batch 250/538 - Train Accuracy: 0.861, Validation Accuracy: 0.841, Loss: 0.169
Epoch 1 Batch 251/538 - Train Accuracy: 0.875, Validation Accuracy: 0.847, Loss: 0.178
Epoch 1 Batch 252/538 - Train Accuracy: 0.873, Validation Accuracy: 0.860, Loss: 0.159
Epoch 1 Batch 253/538 - Train Accuracy: 0.858, Validation Accuracy: 0.860, Loss: 0.159
Epoch 1 Batch 254/538 - Train Accuracy: 0.830, Validation Accuracy: 0.863, Loss: 0.180
Epoch 1 Batch 255/538 - Train Accuracy: 0.885, Validation Accuracy: 0.867, Loss: 0.155
Epoch 1 Batch 256/538 - Train Accuracy: 0.841, Validation Accuracy: 0.865, Loss: 0.164
Epoch 1 Batch 257/538 - Train Accuracy: 0.870, Validation Accuracy: 0.859, Loss: 0.161
Epoch 1 Batch 258/538 - Train Accuracy: 0.864, Validation Accuracy: 0.854, Loss: 0.163
Epoch 1 Batch 259/538 - Train Accuracy: 0.892, Validation Accuracy: 0.867, Loss: 0.156
Epoch 1 Batch 260/538 - Train Accuracy: 0.860, Validation Accuracy: 0.867, Loss: 0.157
Epoch 1 Batch 261/538 - Train Accuracy: 0.862, Validation Accuracy: 0.871, Loss: 0.171
Epoch 1 Batch 262/538 - Train Accuracy: 0.885, Validation Accuracy: 0.875, Loss: 0.147
Epoch 1 Batch 263/538 - Train Accuracy: 0.857, Validation Accuracy: 0.862, Loss: 0.149
Epoch 1 Batch 264/538 - Train Accuracy: 0.857, Validation Accuracy: 0.859, Loss: 0.164
Epoch 1 Batch 265/538 - Train Accuracy: 0.858, Validation Accuracy: 0.857, Loss: 0.168
Epoch 1 Batch 266/538 - Train Accuracy: 0.847, Validation Accuracy: 0.849, Loss: 0.154
Epoch 1 Batch 267/538 - Train Accuracy: 0.858, Validation Accuracy: 0.855, Loss: 0.155
Epoch 1 Batch 268/538 - Train Accuracy: 0.892, Validation Accuracy: 0.860, Loss: 0.134
Epoch 1 Batch 269/538 - Train Accuracy: 0.870, Validation Accuracy: 0.859, Loss: 0.153
Epoch 1 Batch 270/538 - Train Accuracy: 0.882, Validation Accuracy: 0.847, Loss: 0.149
Epoch 1 Batch 271/538 - Train Accuracy: 0.882, Validation Accuracy: 0.855, Loss: 0.138
Epoch 1 Batch 272/538 - Train Accuracy: 0.853, Validation Accuracy: 0.853, Loss: 0.161
Epoch 1 Batch 273/538 - Train Accuracy: 0.859, Validation Accuracy: 0.856, Loss: 0.142
Epoch 1 Batch 274/538 - Train Accuracy: 0.849, Validation Accuracy: 0.855, Loss: 0.162
Epoch 1 Batch 275/538 - Train Accuracy: 0.874, Validation Accuracy: 0.860, Loss: 0.156
Epoch 1 Batch 276/538 - Train Accuracy: 0.865, Validation Accuracy: 0.865, Loss: 0.148
Epoch 1 Batch 277/538 - Train Accuracy: 0.872, Validation Accuracy: 0.868, Loss: 0.145
Epoch 1 Batch 278/538 - Train Accuracy: 0.893, Validation Accuracy: 0.862, Loss: 0.141
Epoch 1 Batch 279/538 - Train Accuracy: 0.875, Validation Accuracy: 0.863, Loss: 0.137
Epoch 1 Batch 280/538 - Train Accuracy: 0.889, Validation Accuracy: 0.867, Loss: 0.132
Epoch 1 Batch 281/538 - Train Accuracy: 0.882, Validation Accuracy: 0.870, Loss: 0.144
Epoch 1 Batch 282/538 - Train Accuracy: 0.874, Validation Accuracy: 0.861, Loss: 0.147
Epoch 1 Batch 283/538 - Train Accuracy: 0.899, Validation Accuracy: 0.859, Loss: 0.142
Epoch 1 Batch 284/538 - Train Accuracy: 0.896, Validation Accuracy: 0.855, Loss: 0.140
Epoch 1 Batch 285/538 - Train Accuracy: 0.875, Validation Accuracy: 0.857, Loss: 0.124
Epoch 1 Batch 286/538 - Train Accuracy: 0.866, Validation Accuracy: 0.866, Loss: 0.143
Epoch 1 Batch 287/538 - Train Accuracy: 0.888, Validation Accuracy: 0.871, Loss: 0.123
Epoch 1 Batch 288/538 - Train Accuracy: 0.887, Validation Accuracy: 0.866, Loss: 0.134
Epoch 1 Batch 289/538 - Train Accuracy: 0.892, Validation Accuracy: 0.869, Loss: 0.119
Epoch 1 Batch 290/538 - Train Accuracy: 0.879, Validation Accuracy: 0.860, Loss: 0.125
Epoch 1 Batch 291/538 - Train Accuracy: 0.872, Validation Accuracy: 0.860, Loss: 0.128
Epoch 1 Batch 292/538 - Train Accuracy: 0.871, Validation Accuracy: 0.861, Loss: 0.118
Epoch 1 Batch 293/538 - Train Accuracy: 0.889, Validation Accuracy: 0.850, Loss: 0.129
Epoch 1 Batch 294/538 - Train Accuracy: 0.868, Validation Accuracy: 0.847, Loss: 0.137
Epoch 1 Batch 295/538 - Train Accuracy: 0.893, Validation Accuracy: 0.866, Loss: 0.126
Epoch 1 Batch 296/538 - Train Accuracy: 0.876, Validation Accuracy: 0.859, Loss: 0.141
Epoch 1 Batch 297/538 - Train Accuracy: 0.894, Validation Accuracy: 0.867, Loss: 0.129
Epoch 1 Batch 298/538 - Train Accuracy: 0.886, Validation Accuracy: 0.877, Loss: 0.121
Epoch 1 Batch 299/538 - Train Accuracy: 0.874, Validation Accuracy: 0.882, Loss: 0.138
Epoch 1 Batch 300/538 - Train Accuracy: 0.871, Validation Accuracy: 0.870, Loss: 0.129
Epoch 1 Batch 301/538 - Train Accuracy: 0.867, Validation Accuracy: 0.891, Loss: 0.136
Epoch 1 Batch 302/538 - Train Accuracy: 0.893, Validation Accuracy: 0.884, Loss: 0.118
Epoch 1 Batch 303/538 - Train Accuracy: 0.907, Validation Accuracy: 0.887, Loss: 0.131
Epoch 1 Batch 304/538 - Train Accuracy: 0.873, Validation Accuracy: 0.880, Loss: 0.131
Epoch 1 Batch 305/538 - Train Accuracy: 0.895, Validation Accuracy: 0.875, Loss: 0.120
Epoch 1 Batch 306/538 - Train Accuracy: 0.882, Validation Accuracy: 0.874, Loss: 0.130
Epoch 1 Batch 307/538 - Train Accuracy: 0.889, Validation Accuracy: 0.878, Loss: 0.123
Epoch 1 Batch 308/538 - Train Accuracy: 0.884, Validation Accuracy: 0.870, Loss: 0.124
Epoch 1 Batch 309/538 - Train Accuracy: 0.894, Validation Accuracy: 0.872, Loss: 0.117
Epoch 1 Batch 310/538 - Train Accuracy: 0.922, Validation Accuracy: 0.870, Loss: 0.118
Epoch 1 Batch 311/538 - Train Accuracy: 0.879, Validation Accuracy: 0.874, Loss: 0.126
Epoch 1 Batch 312/538 - Train Accuracy: 0.885, Validation Accuracy: 0.874, Loss: 0.119
Epoch 1 Batch 313/538 - Train Accuracy: 0.871, Validation Accuracy: 0.874, Loss: 0.130
Epoch 1 Batch 314/538 - Train Accuracy: 0.893, Validation Accuracy: 0.864, Loss: 0.125
Epoch 1 Batch 315/538 - Train Accuracy: 0.867, Validation Accuracy: 0.868, Loss: 0.115
Epoch 1 Batch 316/538 - Train Accuracy: 0.855, Validation Accuracy: 0.866, Loss: 0.125
Epoch 1 Batch 317/538 - Train Accuracy: 0.908, Validation Accuracy: 0.867, Loss: 0.127
Epoch 1 Batch 318/538 - Train Accuracy: 0.861, Validation Accuracy: 0.861, Loss: 0.115
Epoch 1 Batch 319/538 - Train Accuracy: 0.877, Validation Accuracy: 0.849, Loss: 0.122
Epoch 1 Batch 320/538 - Train Accuracy: 0.872, Validation Accuracy: 0.863, Loss: 0.116
Epoch 1 Batch 321/538 - Train Accuracy: 0.883, Validation Accuracy: 0.863, Loss: 0.115
Epoch 1 Batch 322/538 - Train Accuracy: 0.888, Validation Accuracy: 0.866, Loss: 0.116
Epoch 1 Batch 323/538 - Train Accuracy: 0.909, Validation Accuracy: 0.881, Loss: 0.114
Epoch 1 Batch 324/538 - Train Accuracy: 0.874, Validation Accuracy: 0.873, Loss: 0.122
Epoch 1 Batch 325/538 - Train Accuracy: 0.908, Validation Accuracy: 0.873, Loss: 0.117
Epoch 1 Batch 326/538 - Train Accuracy: 0.903, Validation Accuracy: 0.881, Loss: 0.123
Epoch 1 Batch 327/538 - Train Accuracy: 0.877, Validation Accuracy: 0.876, Loss: 0.134
Epoch 1 Batch 328/538 - Train Accuracy: 0.898, Validation Accuracy: 0.868, Loss: 0.114
Epoch 1 Batch 329/538 - Train Accuracy: 0.893, Validation Accuracy: 0.867, Loss: 0.122
Epoch 1 Batch 330/538 - Train Accuracy: 0.898, Validation Accuracy: 0.870, Loss: 0.107
Epoch 1 Batch 331/538 - Train Accuracy: 0.881, Validation Accuracy: 0.879, Loss: 0.107
Epoch 1 Batch 332/538 - Train Accuracy: 0.906, Validation Accuracy: 0.872, Loss: 0.110
Epoch 1 Batch 333/538 - Train Accuracy: 0.892, Validation Accuracy: 0.883, Loss: 0.116
Epoch 1 Batch 334/538 - Train Accuracy: 0.886, Validation Accuracy: 0.875, Loss: 0.109
Epoch 1 Batch 335/538 - Train Accuracy: 0.890, Validation Accuracy: 0.882, Loss: 0.111
Epoch 1 Batch 336/538 - Train Accuracy: 0.903, Validation Accuracy: 0.881, Loss: 0.103
Epoch 1 Batch 337/538 - Train Accuracy: 0.908, Validation Accuracy: 0.875, Loss: 0.112
Epoch 1 Batch 338/538 - Train Accuracy: 0.874, Validation Accuracy: 0.873, Loss: 0.114
Epoch 1 Batch 339/538 - Train Accuracy: 0.884, Validation Accuracy: 0.883, Loss: 0.111
Epoch 1 Batch 340/538 - Train Accuracy: 0.881, Validation Accuracy: 0.881, Loss: 0.113
Epoch 1 Batch 341/538 - Train Accuracy: 0.898, Validation Accuracy: 0.885, Loss: 0.103
Epoch 1 Batch 342/538 - Train Accuracy: 0.895, Validation Accuracy: 0.891, Loss: 0.105
Epoch 1 Batch 343/538 - Train Accuracy: 0.902, Validation Accuracy: 0.890, Loss: 0.120
Epoch 1 Batch 344/538 - Train Accuracy: 0.898, Validation Accuracy: 0.876, Loss: 0.105
Epoch 1 Batch 345/538 - Train Accuracy: 0.902, Validation Accuracy: 0.879, Loss: 0.111
Epoch 1 Batch 346/538 - Train Accuracy: 0.876, Validation Accuracy: 0.871, Loss: 0.122
Epoch 1 Batch 347/538 - Train Accuracy: 0.886, Validation Accuracy: 0.867, Loss: 0.109
Epoch 1 Batch 348/538 - Train Accuracy: 0.899, Validation Accuracy: 0.870, Loss: 0.101
Epoch 1 Batch 349/538 - Train Accuracy: 0.899, Validation Accuracy: 0.862, Loss: 0.096
Epoch 1 Batch 350/538 - Train Accuracy: 0.911, Validation Accuracy: 0.860, Loss: 0.114
Epoch 1 Batch 351/538 - Train Accuracy: 0.874, Validation Accuracy: 0.871, Loss: 0.122
Epoch 1 Batch 352/538 - Train Accuracy: 0.887, Validation Accuracy: 0.882, Loss: 0.124
Epoch 1 Batch 353/538 - Train Accuracy: 0.874, Validation Accuracy: 0.877, Loss: 0.116
Epoch 1 Batch 354/538 - Train Accuracy: 0.893, Validation Accuracy: 0.883, Loss: 0.113
Epoch 1 Batch 355/538 - Train Accuracy: 0.897, Validation Accuracy: 0.892, Loss: 0.101
Epoch 1 Batch 356/538 - Train Accuracy: 0.899, Validation Accuracy: 0.886, Loss: 0.097
Epoch 1 Batch 357/538 - Train Accuracy: 0.909, Validation Accuracy: 0.889, Loss: 0.099
Epoch 1 Batch 358/538 - Train Accuracy: 0.903, Validation Accuracy: 0.893, Loss: 0.096
Epoch 1 Batch 359/538 - Train Accuracy: 0.884, Validation Accuracy: 0.886, Loss: 0.099
Epoch 1 Batch 360/538 - Train Accuracy: 0.887, Validation Accuracy: 0.888, Loss: 0.106
Epoch 1 Batch 361/538 - Train Accuracy: 0.895, Validation Accuracy: 0.880, Loss: 0.103
Epoch 1 Batch 362/538 - Train Accuracy: 0.925, Validation Accuracy: 0.890, Loss: 0.095
Epoch 1 Batch 363/538 - Train Accuracy: 0.890, Validation Accuracy: 0.896, Loss: 0.098
Epoch 1 Batch 364/538 - Train Accuracy: 0.892, Validation Accuracy: 0.890, Loss: 0.118
Epoch 1 Batch 365/538 - Train Accuracy: 0.890, Validation Accuracy: 0.882, Loss: 0.100
Epoch 1 Batch 366/538 - Train Accuracy: 0.906, Validation Accuracy: 0.883, Loss: 0.103
Epoch 1 Batch 367/538 - Train Accuracy: 0.920, Validation Accuracy: 0.887, Loss: 0.091
Epoch 1 Batch 368/538 - Train Accuracy: 0.913, Validation Accuracy: 0.903, Loss: 0.095
Epoch 1 Batch 369/538 - Train Accuracy: 0.906, Validation Accuracy: 0.897, Loss: 0.092
Epoch 1 Batch 370/538 - Train Accuracy: 0.911, Validation Accuracy: 0.886, Loss: 0.105
Epoch 1 Batch 371/538 - Train Accuracy: 0.894, Validation Accuracy: 0.887, Loss: 0.097
Epoch 1 Batch 372/538 - Train Accuracy: 0.930, Validation Accuracy: 0.896, Loss: 0.104
Epoch 1 Batch 373/538 - Train Accuracy: 0.894, Validation Accuracy: 0.890, Loss: 0.085
Epoch 1 Batch 374/538 - Train Accuracy: 0.882, Validation Accuracy: 0.894, Loss: 0.098
Epoch 1 Batch 375/538 - Train Accuracy: 0.905, Validation Accuracy: 0.880, Loss: 0.089
Epoch 1 Batch 376/538 - Train Accuracy: 0.887, Validation Accuracy: 0.877, Loss: 0.098
Epoch 1 Batch 377/538 - Train Accuracy: 0.899, Validation Accuracy: 0.885, Loss: 0.102
Epoch 1 Batch 378/538 - Train Accuracy: 0.920, Validation Accuracy: 0.908, Loss: 0.085
Epoch 1 Batch 379/538 - Train Accuracy: 0.920, Validation Accuracy: 0.906, Loss: 0.088
Epoch 1 Batch 380/538 - Train Accuracy: 0.916, Validation Accuracy: 0.900, Loss: 0.092
Epoch 1 Batch 381/538 - Train Accuracy: 0.912, Validation Accuracy: 0.885, Loss: 0.089
Epoch 1 Batch 382/538 - Train Accuracy: 0.899, Validation Accuracy: 0.887, Loss: 0.097
Epoch 1 Batch 383/538 - Train Accuracy: 0.900, Validation Accuracy: 0.893, Loss: 0.100
Epoch 1 Batch 384/538 - Train Accuracy: 0.887, Validation Accuracy: 0.890, Loss: 0.093
Epoch 1 Batch 385/538 - Train Accuracy: 0.905, Validation Accuracy: 0.896, Loss: 0.095
Epoch 1 Batch 386/538 - Train Accuracy: 0.902, Validation Accuracy: 0.898, Loss: 0.101
Epoch 1 Batch 387/538 - Train Accuracy: 0.902, Validation Accuracy: 0.892, Loss: 0.093
Epoch 1 Batch 388/538 - Train Accuracy: 0.917, Validation Accuracy: 0.904, Loss: 0.095
Epoch 1 Batch 389/538 - Train Accuracy: 0.878, Validation Accuracy: 0.909, Loss: 0.116
Epoch 1 Batch 390/538 - Train Accuracy: 0.914, Validation Accuracy: 0.897, Loss: 0.086
Epoch 1 Batch 391/538 - Train Accuracy: 0.908, Validation Accuracy: 0.891, Loss: 0.090
Epoch 1 Batch 392/538 - Train Accuracy: 0.896, Validation Accuracy: 0.905, Loss: 0.094
Epoch 1 Batch 393/538 - Train Accuracy: 0.911, Validation Accuracy: 0.911, Loss: 0.082
Epoch 1 Batch 394/538 - Train Accuracy: 0.869, Validation Accuracy: 0.903, Loss: 0.097
Epoch 1 Batch 395/538 - Train Accuracy: 0.905, Validation Accuracy: 0.902, Loss: 0.099
Epoch 1 Batch 396/538 - Train Accuracy: 0.912, Validation Accuracy: 0.901, Loss: 0.090
Epoch 1 Batch 397/538 - Train Accuracy: 0.909, Validation Accuracy: 0.900, Loss: 0.094
Epoch 1 Batch 398/538 - Train Accuracy: 0.904, Validation Accuracy: 0.896, Loss: 0.092
Epoch 1 Batch 399/538 - Train Accuracy: 0.885, Validation Accuracy: 0.897, Loss: 0.099
Epoch 1 Batch 400/538 - Train Accuracy: 0.914, Validation Accuracy: 0.895, Loss: 0.090
Epoch 1 Batch 401/538 - Train Accuracy: 0.917, Validation Accuracy: 0.894, Loss: 0.087
Epoch 1 Batch 402/538 - Train Accuracy: 0.906, Validation Accuracy: 0.894, Loss: 0.088
Epoch 1 Batch 403/538 - Train Accuracy: 0.901, Validation Accuracy: 0.893, Loss: 0.099
Epoch 1 Batch 404/538 - Train Accuracy: 0.893, Validation Accuracy: 0.887, Loss: 0.089
Epoch 1 Batch 405/538 - Train Accuracy: 0.892, Validation Accuracy: 0.900, Loss: 0.087
Epoch 1 Batch 406/538 - Train Accuracy: 0.903, Validation Accuracy: 0.897, Loss: 0.090
Epoch 1 Batch 407/538 - Train Accuracy: 0.938, Validation Accuracy: 0.895, Loss: 0.095
Epoch 1 Batch 408/538 - Train Accuracy: 0.911, Validation Accuracy: 0.902, Loss: 0.091
Epoch 1 Batch 409/538 - Train Accuracy: 0.890, Validation Accuracy: 0.895, Loss: 0.085
Epoch 1 Batch 410/538 - Train Accuracy: 0.912, Validation Accuracy: 0.889, Loss: 0.096
Epoch 1 Batch 411/538 - Train Accuracy: 0.932, Validation Accuracy: 0.892, Loss: 0.087
Epoch 1 Batch 412/538 - Train Accuracy: 0.896, Validation Accuracy: 0.898, Loss: 0.078
Epoch 1 Batch 413/538 - Train Accuracy: 0.916, Validation Accuracy: 0.888, Loss: 0.082
Epoch 1 Batch 414/538 - Train Accuracy: 0.883, Validation Accuracy: 0.885, Loss: 0.104
Epoch 1 Batch 415/538 - Train Accuracy: 0.878, Validation Accuracy: 0.896, Loss: 0.091
Epoch 1 Batch 416/538 - Train Accuracy: 0.910, Validation Accuracy: 0.884, Loss: 0.090
Epoch 1 Batch 417/538 - Train Accuracy: 0.910, Validation Accuracy: 0.895, Loss: 0.091
Epoch 1 Batch 418/538 - Train Accuracy: 0.912, Validation Accuracy: 0.898, Loss: 0.093
Epoch 1 Batch 419/538 - Train Accuracy: 0.910, Validation Accuracy: 0.890, Loss: 0.079
Epoch 1 Batch 420/538 - Train Accuracy: 0.917, Validation Accuracy: 0.890, Loss: 0.085
Epoch 1 Batch 421/538 - Train Accuracy: 0.913, Validation Accuracy: 0.892, Loss: 0.077
Epoch 1 Batch 422/538 - Train Accuracy: 0.895, Validation Accuracy: 0.901, Loss: 0.092
Epoch 1 Batch 423/538 - Train Accuracy: 0.918, Validation Accuracy: 0.899, Loss: 0.094
Epoch 1 Batch 424/538 - Train Accuracy: 0.893, Validation Accuracy: 0.902, Loss: 0.091
Epoch 1 Batch 425/538 - Train Accuracy: 0.905, Validation Accuracy: 0.903, Loss: 0.102
Epoch 1 Batch 426/538 - Train Accuracy: 0.914, Validation Accuracy: 0.909, Loss: 0.082
Epoch 1 Batch 427/538 - Train Accuracy: 0.897, Validation Accuracy: 0.911, Loss: 0.096
Epoch 1 Batch 428/538 - Train Accuracy: 0.920, Validation Accuracy: 0.917, Loss: 0.081
Epoch 1 Batch 429/538 - Train Accuracy: 0.924, Validation Accuracy: 0.918, Loss: 0.103
Epoch 1 Batch 430/538 - Train Accuracy: 0.906, Validation Accuracy: 0.917, Loss: 0.086
Epoch 1 Batch 431/538 - Train Accuracy: 0.907, Validation Accuracy: 0.910, Loss: 0.083
Epoch 1 Batch 432/538 - Train Accuracy: 0.884, Validation Accuracy: 0.908, Loss: 0.089
Epoch 1 Batch 433/538 - Train Accuracy: 0.905, Validation Accuracy: 0.895, Loss: 0.112
Epoch 1 Batch 434/538 - Train Accuracy: 0.898, Validation Accuracy: 0.900, Loss: 0.092
Epoch 1 Batch 435/538 - Train Accuracy: 0.913, Validation Accuracy: 0.895, Loss: 0.084
Epoch 1 Batch 436/538 - Train Accuracy: 0.899, Validation Accuracy: 0.891, Loss: 0.091
Epoch 1 Batch 437/538 - Train Accuracy: 0.913, Validation Accuracy: 0.894, Loss: 0.085
Epoch 1 Batch 438/538 - Train Accuracy: 0.931, Validation Accuracy: 0.901, Loss: 0.080
Epoch 1 Batch 439/538 - Train Accuracy: 0.934, Validation Accuracy: 0.901, Loss: 0.079
Epoch 1 Batch 440/538 - Train Accuracy: 0.898, Validation Accuracy: 0.910, Loss: 0.092
Epoch 1 Batch 441/538 - Train Accuracy: 0.901, Validation Accuracy: 0.906, Loss: 0.096
Epoch 1 Batch 442/538 - Train Accuracy: 0.921, Validation Accuracy: 0.904, Loss: 0.074
Epoch 1 Batch 443/538 - Train Accuracy: 0.907, Validation Accuracy: 0.892, Loss: 0.092
Epoch 1 Batch 444/538 - Train Accuracy: 0.905, Validation Accuracy: 0.883, Loss: 0.077
Epoch 1 Batch 445/538 - Train Accuracy: 0.922, Validation Accuracy: 0.884, Loss: 0.072
Epoch 1 Batch 446/538 - Train Accuracy: 0.911, Validation Accuracy: 0.893, Loss: 0.079
Epoch 1 Batch 447/538 - Train Accuracy: 0.907, Validation Accuracy: 0.896, Loss: 0.081
Epoch 1 Batch 448/538 - Train Accuracy: 0.926, Validation Accuracy: 0.898, Loss: 0.076
Epoch 1 Batch 449/538 - Train Accuracy: 0.932, Validation Accuracy: 0.901, Loss: 0.088
Epoch 1 Batch 450/538 - Train Accuracy: 0.892, Validation Accuracy: 0.899, Loss: 0.097
Epoch 1 Batch 451/538 - Train Accuracy: 0.906, Validation Accuracy: 0.897, Loss: 0.081
Epoch 1 Batch 452/538 - Train Accuracy: 0.921, Validation Accuracy: 0.897, Loss: 0.076
Epoch 1 Batch 453/538 - Train Accuracy: 0.915, Validation Accuracy: 0.900, Loss: 0.087
Epoch 1 Batch 454/538 - Train Accuracy: 0.900, Validation Accuracy: 0.895, Loss: 0.090
Epoch 1 Batch 455/538 - Train Accuracy: 0.900, Validation Accuracy: 0.897, Loss: 0.082
Epoch 1 Batch 456/538 - Train Accuracy: 0.914, Validation Accuracy: 0.888, Loss: 0.093
Epoch 1 Batch 457/538 - Train Accuracy: 0.908, Validation Accuracy: 0.888, Loss: 0.079
Epoch 1 Batch 458/538 - Train Accuracy: 0.903, Validation Accuracy: 0.890, Loss: 0.075
Epoch 1 Batch 459/538 - Train Accuracy: 0.898, Validation Accuracy: 0.904, Loss: 0.073
Epoch 1 Batch 460/538 - Train Accuracy: 0.888, Validation Accuracy: 0.898, Loss: 0.086
Epoch 1 Batch 461/538 - Train Accuracy: 0.930, Validation Accuracy: 0.907, Loss: 0.078
Epoch 1 Batch 462/538 - Train Accuracy: 0.909, Validation Accuracy: 0.896, Loss: 0.067
Epoch 1 Batch 463/538 - Train Accuracy: 0.879, Validation Accuracy: 0.890, Loss: 0.088
Epoch 1 Batch 464/538 - Train Accuracy: 0.915, Validation Accuracy: 0.895, Loss: 0.077
Epoch 1 Batch 465/538 - Train Accuracy: 0.895, Validation Accuracy: 0.911, Loss: 0.076
Epoch 1 Batch 466/538 - Train Accuracy: 0.915, Validation Accuracy: 0.896, Loss: 0.076
Epoch 1 Batch 467/538 - Train Accuracy: 0.926, Validation Accuracy: 0.893, Loss: 0.076
Epoch 1 Batch 468/538 - Train Accuracy: 0.921, Validation Accuracy: 0.893, Loss: 0.083
Epoch 1 Batch 469/538 - Train Accuracy: 0.899, Validation Accuracy: 0.894, Loss: 0.081
Epoch 1 Batch 470/538 - Train Accuracy: 0.895, Validation Accuracy: 0.895, Loss: 0.080
Epoch 1 Batch 471/538 - Train Accuracy: 0.930, Validation Accuracy: 0.887, Loss: 0.070
Epoch 1 Batch 472/538 - Train Accuracy: 0.942, Validation Accuracy: 0.893, Loss: 0.068
Epoch 1 Batch 473/538 - Train Accuracy: 0.898, Validation Accuracy: 0.906, Loss: 0.080
Epoch 1 Batch 474/538 - Train Accuracy: 0.945, Validation Accuracy: 0.910, Loss: 0.066
Epoch 1 Batch 475/538 - Train Accuracy: 0.923, Validation Accuracy: 0.912, Loss: 0.075
Epoch 1 Batch 476/538 - Train Accuracy: 0.921, Validation Accuracy: 0.911, Loss: 0.069
Epoch 1 Batch 477/538 - Train Accuracy: 0.916, Validation Accuracy: 0.906, Loss: 0.083
Epoch 1 Batch 478/538 - Train Accuracy: 0.927, Validation Accuracy: 0.894, Loss: 0.067
Epoch 1 Batch 479/538 - Train Accuracy: 0.911, Validation Accuracy: 0.887, Loss: 0.072
Epoch 1 Batch 480/538 - Train Accuracy: 0.913, Validation Accuracy: 0.889, Loss: 0.076
Epoch 1 Batch 481/538 - Train Accuracy: 0.916, Validation Accuracy: 0.893, Loss: 0.075
Epoch 1 Batch 482/538 - Train Accuracy: 0.903, Validation Accuracy: 0.894, Loss: 0.066
Epoch 1 Batch 483/538 - Train Accuracy: 0.886, Validation Accuracy: 0.907, Loss: 0.084
Epoch 1 Batch 484/538 - Train Accuracy: 0.923, Validation Accuracy: 0.906, Loss: 0.084
Epoch 1 Batch 485/538 - Train Accuracy: 0.922, Validation Accuracy: 0.906, Loss: 0.078
Epoch 1 Batch 486/538 - Train Accuracy: 0.935, Validation Accuracy: 0.909, Loss: 0.062
Epoch 1 Batch 487/538 - Train Accuracy: 0.921, Validation Accuracy: 0.913, Loss: 0.073
Epoch 1 Batch 488/538 - Train Accuracy: 0.930, Validation Accuracy: 0.912, Loss: 0.067
Epoch 1 Batch 489/538 - Train Accuracy: 0.903, Validation Accuracy: 0.915, Loss: 0.076
Epoch 1 Batch 490/538 - Train Accuracy: 0.919, Validation Accuracy: 0.917, Loss: 0.071
Epoch 1 Batch 491/538 - Train Accuracy: 0.888, Validation Accuracy: 0.913, Loss: 0.083
Epoch 1 Batch 492/538 - Train Accuracy: 0.927, Validation Accuracy: 0.908, Loss: 0.066
Epoch 1 Batch 493/538 - Train Accuracy: 0.904, Validation Accuracy: 0.907, Loss: 0.071
Epoch 1 Batch 494/538 - Train Accuracy: 0.914, Validation Accuracy: 0.917, Loss: 0.083
Epoch 1 Batch 495/538 - Train Accuracy: 0.906, Validation Accuracy: 0.917, Loss: 0.074
Epoch 1 Batch 496/538 - Train Accuracy: 0.932, Validation Accuracy: 0.925, Loss: 0.066
Epoch 1 Batch 497/538 - Train Accuracy: 0.937, Validation Accuracy: 0.928, Loss: 0.069
Epoch 1 Batch 498/538 - Train Accuracy: 0.918, Validation Accuracy: 0.923, Loss: 0.068
Epoch 1 Batch 499/538 - Train Accuracy: 0.918, Validation Accuracy: 0.918, Loss: 0.073
Epoch 1 Batch 500/538 - Train Accuracy: 0.942, Validation Accuracy: 0.909, Loss: 0.057
Epoch 1 Batch 501/538 - Train Accuracy: 0.946, Validation Accuracy: 0.919, Loss: 0.076
Epoch 1 Batch 502/538 - Train Accuracy: 0.920, Validation Accuracy: 0.917, Loss: 0.060
Epoch 1 Batch 503/538 - Train Accuracy: 0.937, Validation Accuracy: 0.924, Loss: 0.070
Epoch 1 Batch 504/538 - Train Accuracy: 0.945, Validation Accuracy: 0.924, Loss: 0.065
Epoch 1 Batch 505/538 - Train Accuracy: 0.932, Validation Accuracy: 0.923, Loss: 0.057
Epoch 1 Batch 506/538 - Train Accuracy: 0.927, Validation Accuracy: 0.924, Loss: 0.062
Epoch 1 Batch 507/538 - Train Accuracy: 0.879, Validation Accuracy: 0.914, Loss: 0.077
Epoch 1 Batch 508/538 - Train Accuracy: 0.903, Validation Accuracy: 0.912, Loss: 0.066
Epoch 1 Batch 509/538 - Train Accuracy: 0.926, Validation Accuracy: 0.913, Loss: 0.071
Epoch 1 Batch 510/538 - Train Accuracy: 0.916, Validation Accuracy: 0.918, Loss: 0.070
Epoch 1 Batch 511/538 - Train Accuracy: 0.898, Validation Accuracy: 0.918, Loss: 0.069
Epoch 1 Batch 512/538 - Train Accuracy: 0.938, Validation Accuracy: 0.922, Loss: 0.071
Epoch 1 Batch 513/538 - Train Accuracy: 0.895, Validation Accuracy: 0.910, Loss: 0.069
Epoch 1 Batch 514/538 - Train Accuracy: 0.905, Validation Accuracy: 0.914, Loss: 0.074
Epoch 1 Batch 515/538 - Train Accuracy: 0.922, Validation Accuracy: 0.921, Loss: 0.081
Epoch 1 Batch 516/538 - Train Accuracy: 0.889, Validation Accuracy: 0.909, Loss: 0.074
Epoch 1 Batch 517/538 - Train Accuracy: 0.922, Validation Accuracy: 0.905, Loss: 0.066
Epoch 1 Batch 518/538 - Train Accuracy: 0.909, Validation Accuracy: 0.898, Loss: 0.071
Epoch 1 Batch 519/538 - Train Accuracy: 0.918, Validation Accuracy: 0.891, Loss: 0.072
Epoch 1 Batch 520/538 - Train Accuracy: 0.927, Validation Accuracy: 0.896, Loss: 0.070
Epoch 1 Batch 521/538 - Train Accuracy: 0.922, Validation Accuracy: 0.900, Loss: 0.085
Epoch 1 Batch 522/538 - Train Accuracy: 0.912, Validation Accuracy: 0.911, Loss: 0.064
Epoch 1 Batch 523/538 - Train Accuracy: 0.914, Validation Accuracy: 0.912, Loss: 0.066
Epoch 1 Batch 524/538 - Train Accuracy: 0.912, Validation Accuracy: 0.922, Loss: 0.069
Epoch 1 Batch 525/538 - Train Accuracy: 0.925, Validation Accuracy: 0.921, Loss: 0.065
Epoch 1 Batch 526/538 - Train Accuracy: 0.924, Validation Accuracy: 0.923, Loss: 0.071
Epoch 1 Batch 527/538 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.071
Epoch 1 Batch 528/538 - Train Accuracy: 0.911, Validation Accuracy: 0.925, Loss: 0.076
Epoch 1 Batch 529/538 - Train Accuracy: 0.909, Validation Accuracy: 0.924, Loss: 0.070
Epoch 1 Batch 530/538 - Train Accuracy: 0.909, Validation Accuracy: 0.919, Loss: 0.073
Epoch 1 Batch 531/538 - Train Accuracy: 0.913, Validation Accuracy: 0.920, Loss: 0.071
Epoch 1 Batch 532/538 - Train Accuracy: 0.914, Validation Accuracy: 0.918, Loss: 0.060
Epoch 1 Batch 533/538 - Train Accuracy: 0.927, Validation Accuracy: 0.911, Loss: 0.059
Epoch 1 Batch 534/538 - Train Accuracy: 0.920, Validation Accuracy: 0.912, Loss: 0.058
Epoch 1 Batch 535/538 - Train Accuracy: 0.920, Validation Accuracy: 0.918, Loss: 0.067
Epoch 1 Batch 536/538 - Train Accuracy: 0.931, Validation Accuracy: 0.919, Loss: 0.072
Epoch 2 Batch 0/538 - Train Accuracy: 0.939, Validation Accuracy: 0.920, Loss: 0.058
Epoch 2 Batch 1/538 - Train Accuracy: 0.942, Validation Accuracy: 0.915, Loss: 0.061
Epoch 2 Batch 2/538 - Train Accuracy: 0.921, Validation Accuracy: 0.924, Loss: 0.071
Epoch 2 Batch 3/538 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.061
Epoch 2 Batch 4/538 - Train Accuracy: 0.905, Validation Accuracy: 0.916, Loss: 0.066
Epoch 2 Batch 5/538 - Train Accuracy: 0.930, Validation Accuracy: 0.912, Loss: 0.073
Epoch 2 Batch 6/538 - Train Accuracy: 0.934, Validation Accuracy: 0.909, Loss: 0.061
Epoch 2 Batch 7/538 - Train Accuracy: 0.923, Validation Accuracy: 0.920, Loss: 0.066
Epoch 2 Batch 8/538 - Train Accuracy: 0.926, Validation Accuracy: 0.919, Loss: 0.063
Epoch 2 Batch 9/538 - Train Accuracy: 0.907, Validation Accuracy: 0.921, Loss: 0.061
Epoch 2 Batch 10/538 - Train Accuracy: 0.922, Validation Accuracy: 0.919, Loss: 0.068
Epoch 2 Batch 11/538 - Train Accuracy: 0.927, Validation Accuracy: 0.917, Loss: 0.069
Epoch 2 Batch 12/538 - Train Accuracy: 0.916, Validation Accuracy: 0.911, Loss: 0.067
Epoch 2 Batch 13/538 - Train Accuracy: 0.942, Validation Accuracy: 0.919, Loss: 0.057
Epoch 2 Batch 14/538 - Train Accuracy: 0.924, Validation Accuracy: 0.930, Loss: 0.065
Epoch 2 Batch 15/538 - Train Accuracy: 0.941, Validation Accuracy: 0.934, Loss: 0.059
Epoch 2 Batch 16/538 - Train Accuracy: 0.917, Validation Accuracy: 0.926, Loss: 0.061
Epoch 2 Batch 17/538 - Train Accuracy: 0.921, Validation Accuracy: 0.921, Loss: 0.064
Epoch 2 Batch 18/538 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.073
Epoch 2 Batch 19/538 - Train Accuracy: 0.923, Validation Accuracy: 0.936, Loss: 0.066
Epoch 2 Batch 20/538 - Train Accuracy: 0.934, Validation Accuracy: 0.933, Loss: 0.055
Epoch 2 Batch 21/538 - Train Accuracy: 0.962, Validation Accuracy: 0.924, Loss: 0.050
Epoch 2 Batch 22/538 - Train Accuracy: 0.930, Validation Accuracy: 0.922, Loss: 0.061
Epoch 2 Batch 23/538 - Train Accuracy: 0.928, Validation Accuracy: 0.920, Loss: 0.073
Epoch 2 Batch 24/538 - Train Accuracy: 0.926, Validation Accuracy: 0.925, Loss: 0.065
Epoch 2 Batch 25/538 - Train Accuracy: 0.917, Validation Accuracy: 0.927, Loss: 0.069
Epoch 2 Batch 26/538 - Train Accuracy: 0.918, Validation Accuracy: 0.925, Loss: 0.067
Epoch 2 Batch 27/538 - Train Accuracy: 0.935, Validation Accuracy: 0.917, Loss: 0.053
Epoch 2 Batch 28/538 - Train Accuracy: 0.907, Validation Accuracy: 0.913, Loss: 0.066
Epoch 2 Batch 29/538 - Train Accuracy: 0.924, Validation Accuracy: 0.914, Loss: 0.059
Epoch 2 Batch 30/538 - Train Accuracy: 0.898, Validation Accuracy: 0.911, Loss: 0.071
Epoch 2 Batch 31/538 - Train Accuracy: 0.948, Validation Accuracy: 0.909, Loss: 0.056
Epoch 2 Batch 32/538 - Train Accuracy: 0.929, Validation Accuracy: 0.906, Loss: 0.051
Epoch 2 Batch 33/538 - Train Accuracy: 0.918, Validation Accuracy: 0.901, Loss: 0.065
Epoch 2 Batch 34/538 - Train Accuracy: 0.899, Validation Accuracy: 0.900, Loss: 0.076
Epoch 2 Batch 35/538 - Train Accuracy: 0.912, Validation Accuracy: 0.900, Loss: 0.057
Epoch 2 Batch 36/538 - Train Accuracy: 0.913, Validation Accuracy: 0.899, Loss: 0.085
Epoch 2 Batch 37/538 - Train Accuracy: 0.915, Validation Accuracy: 0.926, Loss: 0.118
Epoch 2 Batch 38/538 - Train Accuracy: 0.896, Validation Accuracy: 0.891, Loss: 0.065
Epoch 2 Batch 39/538 - Train Accuracy: 0.895, Validation Accuracy: 0.899, Loss: 0.116
Epoch 2 Batch 40/538 - Train Accuracy: 0.917, Validation Accuracy: 0.903, Loss: 0.074
Epoch 2 Batch 41/538 - Train Accuracy: 0.887, Validation Accuracy: 0.886, Loss: 0.097
Epoch 2 Batch 42/538 - Train Accuracy: 0.922, Validation Accuracy: 0.914, Loss: 0.137
Epoch 2 Batch 43/538 - Train Accuracy: 0.874, Validation Accuracy: 0.886, Loss: 0.079
Epoch 2 Batch 44/538 - Train Accuracy: 0.915, Validation Accuracy: 0.912, Loss: 0.148
Epoch 2 Batch 45/538 - Train Accuracy: 0.900, Validation Accuracy: 0.892, Loss: 0.087
Epoch 2 Batch 46/538 - Train Accuracy: 0.920, Validation Accuracy: 0.903, Loss: 0.111
Epoch 2 Batch 47/538 - Train Accuracy: 0.900, Validation Accuracy: 0.893, Loss: 0.093
Epoch 2 Batch 48/538 - Train Accuracy: 0.894, Validation Accuracy: 0.885, Loss: 0.097
Epoch 2 Batch 49/538 - Train Accuracy: 0.915, Validation Accuracy: 0.903, Loss: 0.092
Epoch 2 Batch 50/538 - Train Accuracy: 0.905, Validation Accuracy: 0.899, Loss: 0.082
Epoch 2 Batch 51/538 - Train Accuracy: 0.891, Validation Accuracy: 0.881, Loss: 0.105
Epoch 2 Batch 52/538 - Train Accuracy: 0.898, Validation Accuracy: 0.885, Loss: 0.097
Epoch 2 Batch 53/538 - Train Accuracy: 0.893, Validation Accuracy: 0.889, Loss: 0.101
Epoch 2 Batch 54/538 - Train Accuracy: 0.929, Validation Accuracy: 0.899, Loss: 0.082
Epoch 2 Batch 55/538 - Train Accuracy: 0.907, Validation Accuracy: 0.887, Loss: 0.091
Epoch 2 Batch 56/538 - Train Accuracy: 0.887, Validation Accuracy: 0.895, Loss: 0.081
Epoch 2 Batch 57/538 - Train Accuracy: 0.879, Validation Accuracy: 0.903, Loss: 0.106
Epoch 2 Batch 58/538 - Train Accuracy: 0.896, Validation Accuracy: 0.896, Loss: 0.085
Epoch 2 Batch 59/538 - Train Accuracy: 0.914, Validation Accuracy: 0.902, Loss: 0.100
Epoch 2 Batch 60/538 - Train Accuracy: 0.915, Validation Accuracy: 0.900, Loss: 0.072
Epoch 2 Batch 61/538 - Train Accuracy: 0.923, Validation Accuracy: 0.916, Loss: 0.082
Epoch 2 Batch 62/538 - Train Accuracy: 0.902, Validation Accuracy: 0.920, Loss: 0.083
Epoch 2 Batch 63/538 - Train Accuracy: 0.922, Validation Accuracy: 0.911, Loss: 0.077
Epoch 2 Batch 64/538 - Train Accuracy: 0.903, Validation Accuracy: 0.911, Loss: 0.077
Epoch 2 Batch 65/538 - Train Accuracy: 0.912, Validation Accuracy: 0.903, Loss: 0.075
Epoch 2 Batch 66/538 - Train Accuracy: 0.923, Validation Accuracy: 0.905, Loss: 0.067
Epoch 2 Batch 67/538 - Train Accuracy: 0.938, Validation Accuracy: 0.900, Loss: 0.067
Epoch 2 Batch 68/538 - Train Accuracy: 0.908, Validation Accuracy: 0.896, Loss: 0.065
Epoch 2 Batch 69/538 - Train Accuracy: 0.908, Validation Accuracy: 0.898, Loss: 0.071
Epoch 2 Batch 70/538 - Train Accuracy: 0.913, Validation Accuracy: 0.907, Loss: 0.068
Epoch 2 Batch 71/538 - Train Accuracy: 0.910, Validation Accuracy: 0.899, Loss: 0.083
Epoch 2 Batch 72/538 - Train Accuracy: 0.937, Validation Accuracy: 0.900, Loss: 0.075
Epoch 2 Batch 73/538 - Train Accuracy: 0.881, Validation Accuracy: 0.905, Loss: 0.070
Epoch 2 Batch 74/538 - Train Accuracy: 0.910, Validation Accuracy: 0.906, Loss: 0.073
Epoch 2 Batch 75/538 - Train Accuracy: 0.908, Validation Accuracy: 0.911, Loss: 0.069
Epoch 2 Batch 76/538 - Train Accuracy: 0.923, Validation Accuracy: 0.921, Loss: 0.065
Epoch 2 Batch 77/538 - Train Accuracy: 0.924, Validation Accuracy: 0.922, Loss: 0.059
Epoch 2 Batch 78/538 - Train Accuracy: 0.935, Validation Accuracy: 0.916, Loss: 0.071
Epoch 2 Batch 79/538 - Train Accuracy: 0.923, Validation Accuracy: 0.919, Loss: 0.057
Epoch 2 Batch 80/538 - Train Accuracy: 0.929, Validation Accuracy: 0.917, Loss: 0.065
Epoch 2 Batch 81/538 - Train Accuracy: 0.913, Validation Accuracy: 0.918, Loss: 0.068
Epoch 2 Batch 82/538 - Train Accuracy: 0.923, Validation Accuracy: 0.919, Loss: 0.071
Epoch 2 Batch 83/538 - Train Accuracy: 0.916, Validation Accuracy: 0.925, Loss: 0.067
Epoch 2 Batch 84/538 - Train Accuracy: 0.910, Validation Accuracy: 0.919, Loss: 0.067
Epoch 2 Batch 85/538 - Train Accuracy: 0.947, Validation Accuracy: 0.929, Loss: 0.052
Epoch 2 Batch 86/538 - Train Accuracy: 0.912, Validation Accuracy: 0.926, Loss: 0.061
Epoch 2 Batch 87/538 - Train Accuracy: 0.936, Validation Accuracy: 0.926, Loss: 0.061
Epoch 2 Batch 88/538 - Train Accuracy: 0.931, Validation Accuracy: 0.933, Loss: 0.062
Epoch 2 Batch 89/538 - Train Accuracy: 0.931, Validation Accuracy: 0.931, Loss: 0.055
Epoch 2 Batch 90/538 - Train Accuracy: 0.924, Validation Accuracy: 0.923, Loss: 0.067
Epoch 2 Batch 91/538 - Train Accuracy: 0.925, Validation Accuracy: 0.928, Loss: 0.062
Epoch 2 Batch 92/538 - Train Accuracy: 0.929, Validation Accuracy: 0.916, Loss: 0.068
Epoch 2 Batch 93/538 - Train Accuracy: 0.909, Validation Accuracy: 0.912, Loss: 0.059
Epoch 2 Batch 94/538 - Train Accuracy: 0.932, Validation Accuracy: 0.913, Loss: 0.055
Epoch 2 Batch 95/538 - Train Accuracy: 0.923, Validation Accuracy: 0.923, Loss: 0.054
Epoch 2 Batch 96/538 - Train Accuracy: 0.950, Validation Accuracy: 0.927, Loss: 0.052
Epoch 2 Batch 97/538 - Train Accuracy: 0.927, Validation Accuracy: 0.922, Loss: 0.054
Epoch 2 Batch 98/538 - Train Accuracy: 0.931, Validation Accuracy: 0.922, Loss: 0.069
Epoch 2 Batch 99/538 - Train Accuracy: 0.933, Validation Accuracy: 0.925, Loss: 0.052
Epoch 2 Batch 100/538 - Train Accuracy: 0.927, Validation Accuracy: 0.922, Loss: 0.053
Epoch 2 Batch 101/538 - Train Accuracy: 0.907, Validation Accuracy: 0.914, Loss: 0.069
Epoch 2 Batch 102/538 - Train Accuracy: 0.911, Validation Accuracy: 0.920, Loss: 0.064
Epoch 2 Batch 103/538 - Train Accuracy: 0.919, Validation Accuracy: 0.920, Loss: 0.052
Epoch 2 Batch 104/538 - Train Accuracy: 0.919, Validation Accuracy: 0.918, Loss: 0.053
Epoch 2 Batch 105/538 - Train Accuracy: 0.931, Validation Accuracy: 0.913, Loss: 0.055
Epoch 2 Batch 106/538 - Train Accuracy: 0.915, Validation Accuracy: 0.907, Loss: 0.049
Epoch 2 Batch 107/538 - Train Accuracy: 0.906, Validation Accuracy: 0.917, Loss: 0.063
Epoch 2 Batch 108/538 - Train Accuracy: 0.926, Validation Accuracy: 0.923, Loss: 0.059
Epoch 2 Batch 109/538 - Train Accuracy: 0.944, Validation Accuracy: 0.925, Loss: 0.046
Epoch 2 Batch 110/538 - Train Accuracy: 0.927, Validation Accuracy: 0.928, Loss: 0.058
Epoch 2 Batch 111/538 - Train Accuracy: 0.939, Validation Accuracy: 0.929, Loss: 0.057
Epoch 2 Batch 112/538 - Train Accuracy: 0.915, Validation Accuracy: 0.921, Loss: 0.062
Epoch 2 Batch 113/538 - Train Accuracy: 0.922, Validation Accuracy: 0.921, Loss: 0.064
Epoch 2 Batch 114/538 - Train Accuracy: 0.935, Validation Accuracy: 0.913, Loss: 0.056
Epoch 2 Batch 115/538 - Train Accuracy: 0.921, Validation Accuracy: 0.907, Loss: 0.055
Epoch 2 Batch 116/538 - Train Accuracy: 0.910, Validation Accuracy: 0.914, Loss: 0.069
Epoch 2 Batch 117/538 - Train Accuracy: 0.924, Validation Accuracy: 0.921, Loss: 0.061
Epoch 2 Batch 118/538 - Train Accuracy: 0.924, Validation Accuracy: 0.922, Loss: 0.051
Epoch 2 Batch 119/538 - Train Accuracy: 0.948, Validation Accuracy: 0.914, Loss: 0.045
Epoch 2 Batch 120/538 - Train Accuracy: 0.947, Validation Accuracy: 0.919, Loss: 0.042
Epoch 2 Batch 121/538 - Train Accuracy: 0.933, Validation Accuracy: 0.921, Loss: 0.050
Epoch 2 Batch 122/538 - Train Accuracy: 0.946, Validation Accuracy: 0.919, Loss: 0.049
Epoch 2 Batch 123/538 - Train Accuracy: 0.922, Validation Accuracy: 0.924, Loss: 0.055
Epoch 2 Batch 124/538 - Train Accuracy: 0.937, Validation Accuracy: 0.935, Loss: 0.053
Epoch 2 Batch 125/538 - Train Accuracy: 0.925, Validation Accuracy: 0.934, Loss: 0.058
Epoch 2 Batch 126/538 - Train Accuracy: 0.919, Validation Accuracy: 0.938, Loss: 0.054
Epoch 2 Batch 127/538 - Train Accuracy: 0.924, Validation Accuracy: 0.939, Loss: 0.065
Epoch 2 Batch 128/538 - Train Accuracy: 0.942, Validation Accuracy: 0.935, Loss: 0.054
Epoch 2 Batch 129/538 - Train Accuracy: 0.930, Validation Accuracy: 0.937, Loss: 0.044
Epoch 2 Batch 130/538 - Train Accuracy: 0.941, Validation Accuracy: 0.935, Loss: 0.051
Epoch 2 Batch 131/538 - Train Accuracy: 0.951, Validation Accuracy: 0.937, Loss: 0.049
Epoch 2 Batch 132/538 - Train Accuracy: 0.923, Validation Accuracy: 0.928, Loss: 0.049
Epoch 2 Batch 133/538 - Train Accuracy: 0.930, Validation Accuracy: 0.931, Loss: 0.053
Epoch 2 Batch 134/538 - Train Accuracy: 0.909, Validation Accuracy: 0.928, Loss: 0.063
Epoch 2 Batch 135/538 - Train Accuracy: 0.944, Validation Accuracy: 0.930, Loss: 0.065
Epoch 2 Batch 136/538 - Train Accuracy: 0.925, Validation Accuracy: 0.927, Loss: 0.051
Epoch 2 Batch 137/538 - Train Accuracy: 0.926, Validation Accuracy: 0.924, Loss: 0.059
Epoch 2 Batch 138/538 - Train Accuracy: 0.925, Validation Accuracy: 0.926, Loss: 0.057
Epoch 2 Batch 139/538 - Train Accuracy: 0.920, Validation Accuracy: 0.931, Loss: 0.058
Epoch 2 Batch 140/538 - Train Accuracy: 0.926, Validation Accuracy: 0.937, Loss: 0.067
Epoch 2 Batch 141/538 - Train Accuracy: 0.932, Validation Accuracy: 0.928, Loss: 0.056
Epoch 2 Batch 142/538 - Train Accuracy: 0.929, Validation Accuracy: 0.930, Loss: 0.050
Epoch 2 Batch 143/538 - Train Accuracy: 0.933, Validation Accuracy: 0.927, Loss: 0.052
Epoch 2 Batch 144/538 - Train Accuracy: 0.944, Validation Accuracy: 0.928, Loss: 0.061
Epoch 2 Batch 145/538 - Train Accuracy: 0.914, Validation Accuracy: 0.924, Loss: 0.065
Epoch 2 Batch 146/538 - Train Accuracy: 0.940, Validation Accuracy: 0.922, Loss: 0.051
Epoch 2 Batch 147/538 - Train Accuracy: 0.945, Validation Accuracy: 0.923, Loss: 0.054
Epoch 2 Batch 148/538 - Train Accuracy: 0.919, Validation Accuracy: 0.919, Loss: 0.061
Epoch 2 Batch 149/538 - Train Accuracy: 0.947, Validation Accuracy: 0.923, Loss: 0.050
Epoch 2 Batch 150/538 - Train Accuracy: 0.948, Validation Accuracy: 0.919, Loss: 0.048
Epoch 2 Batch 151/538 - Train Accuracy: 0.935, Validation Accuracy: 0.915, Loss: 0.056
Epoch 2 Batch 152/538 - Train Accuracy: 0.924, Validation Accuracy: 0.914, Loss: 0.052
Epoch 2 Batch 153/538 - Train Accuracy: 0.922, Validation Accuracy: 0.920, Loss: 0.056
Epoch 2 Batch 154/538 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.050
Epoch 2 Batch 155/538 - Train Accuracy: 0.936, Validation Accuracy: 0.925, Loss: 0.052
Epoch 2 Batch 156/538 - Train Accuracy: 0.937, Validation Accuracy: 0.913, Loss: 0.046
Epoch 2 Batch 157/538 - Train Accuracy: 0.948, Validation Accuracy: 0.923, Loss: 0.048
Epoch 2 Batch 158/538 - Train Accuracy: 0.951, Validation Accuracy: 0.909, Loss: 0.056
Epoch 2 Batch 159/538 - Train Accuracy: 0.926, Validation Accuracy: 0.910, Loss: 0.069
Epoch 2 Batch 160/538 - Train Accuracy: 0.906, Validation Accuracy: 0.908, Loss: 0.054
Epoch 2 Batch 161/538 - Train Accuracy: 0.939, Validation Accuracy: 0.907, Loss: 0.049
Epoch 2 Batch 162/538 - Train Accuracy: 0.931, Validation Accuracy: 0.918, Loss: 0.049
Epoch 2 Batch 163/538 - Train Accuracy: 0.923, Validation Accuracy: 0.918, Loss: 0.061
Epoch 2 Batch 164/538 - Train Accuracy: 0.933, Validation Accuracy: 0.919, Loss: 0.059
Epoch 2 Batch 165/538 - Train Accuracy: 0.912, Validation Accuracy: 0.916, Loss: 0.048
Epoch 2 Batch 166/538 - Train Accuracy: 0.957, Validation Accuracy: 0.915, Loss: 0.048
Epoch 2 Batch 167/538 - Train Accuracy: 0.925, Validation Accuracy: 0.904, Loss: 0.061
Epoch 2 Batch 168/538 - Train Accuracy: 0.903, Validation Accuracy: 0.905, Loss: 0.065
Epoch 2 Batch 169/538 - Train Accuracy: 0.938, Validation Accuracy: 0.904, Loss: 0.049
Epoch 2 Batch 170/538 - Train Accuracy: 0.913, Validation Accuracy: 0.907, Loss: 0.054
Epoch 2 Batch 171/538 - Train Accuracy: 0.938, Validation Accuracy: 0.913, Loss: 0.054
Epoch 2 Batch 172/538 - Train Accuracy: 0.928, Validation Accuracy: 0.919, Loss: 0.049
Epoch 2 Batch 173/538 - Train Accuracy: 0.935, Validation Accuracy: 0.920, Loss: 0.045
Epoch 2 Batch 174/538 - Train Accuracy: 0.933, Validation Accuracy: 0.917, Loss: 0.051
Epoch 2 Batch 175/538 - Train Accuracy: 0.943, Validation Accuracy: 0.918, Loss: 0.045
Epoch 2 Batch 176/538 - Train Accuracy: 0.910, Validation Accuracy: 0.915, Loss: 0.062
Epoch 2 Batch 177/538 - Train Accuracy: 0.938, Validation Accuracy: 0.917, Loss: 0.052
Epoch 2 Batch 178/538 - Train Accuracy: 0.910, Validation Accuracy: 0.919, Loss: 0.055
Epoch 2 Batch 179/538 - Train Accuracy: 0.937, Validation Accuracy: 0.922, Loss: 0.046
Epoch 2 Batch 180/538 - Train Accuracy: 0.938, Validation Accuracy: 0.922, Loss: 0.051
Epoch 2 Batch 181/538 - Train Accuracy: 0.933, Validation Accuracy: 0.928, Loss: 0.060
Epoch 2 Batch 182/538 - Train Accuracy: 0.938, Validation Accuracy: 0.928, Loss: 0.044
Epoch 2 Batch 183/538 - Train Accuracy: 0.959, Validation Accuracy: 0.931, Loss: 0.042
Epoch 2 Batch 184/538 - Train Accuracy: 0.945, Validation Accuracy: 0.930, Loss: 0.046
Epoch 2 Batch 185/538 - Train Accuracy: 0.958, Validation Accuracy: 0.928, Loss: 0.041
Epoch 2 Batch 186/538 - Train Accuracy: 0.930, Validation Accuracy: 0.926, Loss: 0.051
Epoch 2 Batch 187/538 - Train Accuracy: 0.933, Validation Accuracy: 0.925, Loss: 0.051
Epoch 2 Batch 188/538 - Train Accuracy: 0.929, Validation Accuracy: 0.926, Loss: 0.043
Epoch 2 Batch 189/538 - Train Accuracy: 0.947, Validation Accuracy: 0.927, Loss: 0.056
Epoch 2 Batch 190/538 - Train Accuracy: 0.910, Validation Accuracy: 0.924, Loss: 0.063
Epoch 2 Batch 191/538 - Train Accuracy: 0.959, Validation Accuracy: 0.920, Loss: 0.047
Epoch 2 Batch 192/538 - Train Accuracy: 0.923, Validation Accuracy: 0.927, Loss: 0.047
Epoch 2 Batch 193/538 - Train Accuracy: 0.936, Validation Accuracy: 0.933, Loss: 0.053
Epoch 2 Batch 194/538 - Train Accuracy: 0.904, Validation Accuracy: 0.928, Loss: 0.054
Epoch 2 Batch 195/538 - Train Accuracy: 0.938, Validation Accuracy: 0.934, Loss: 0.055
Epoch 2 Batch 196/538 - Train Accuracy: 0.931, Validation Accuracy: 0.936, Loss: 0.048
Epoch 2 Batch 197/538 - Train Accuracy: 0.932, Validation Accuracy: 0.924, Loss: 0.048
Epoch 2 Batch 198/538 - Train Accuracy: 0.945, Validation Accuracy: 0.931, Loss: 0.046
Epoch 2 Batch 199/538 - Train Accuracy: 0.925, Validation Accuracy: 0.933, Loss: 0.052
Epoch 2 Batch 200/538 - Train Accuracy: 0.942, Validation Accuracy: 0.926, Loss: 0.039
Epoch 2 Batch 201/538 - Train Accuracy: 0.923, Validation Accuracy: 0.932, Loss: 0.056
Epoch 2 Batch 202/538 - Train Accuracy: 0.944, Validation Accuracy: 0.927, Loss: 0.045
Epoch 2 Batch 203/538 - Train Accuracy: 0.929, Validation Accuracy: 0.924, Loss: 0.054
Epoch 2 Batch 204/538 - Train Accuracy: 0.928, Validation Accuracy: 0.919, Loss: 0.057
Epoch 2 Batch 205/538 - Train Accuracy: 0.935, Validation Accuracy: 0.923, Loss: 0.045
Epoch 2 Batch 206/538 - Train Accuracy: 0.929, Validation Accuracy: 0.930, Loss: 0.049
Epoch 2 Batch 207/538 - Train Accuracy: 0.944, Validation Accuracy: 0.929, Loss: 0.051
Epoch 2 Batch 208/538 - Train Accuracy: 0.933, Validation Accuracy: 0.926, Loss: 0.059
Epoch 2 Batch 209/538 - Train Accuracy: 0.948, Validation Accuracy: 0.922, Loss: 0.045
Epoch 2 Batch 210/538 - Train Accuracy: 0.912, Validation Accuracy: 0.917, Loss: 0.051
Epoch 2 Batch 211/538 - Train Accuracy: 0.925, Validation Accuracy: 0.923, Loss: 0.050
Epoch 2 Batch 212/538 - Train Accuracy: 0.940, Validation Accuracy: 0.927, Loss: 0.049
Epoch 2 Batch 213/538 - Train Accuracy: 0.938, Validation Accuracy: 0.919, Loss: 0.044
Epoch 2 Batch 214/538 - Train Accuracy: 0.946, Validation Accuracy: 0.927, Loss: 0.045
Epoch 2 Batch 215/538 - Train Accuracy: 0.945, Validation Accuracy: 0.934, Loss: 0.049
Epoch 2 Batch 216/538 - Train Accuracy: 0.949, Validation Accuracy: 0.929, Loss: 0.050
Epoch 2 Batch 217/538 - Train Accuracy: 0.946, Validation Accuracy: 0.927, Loss: 0.048
Epoch 2 Batch 218/538 - Train Accuracy: 0.953, Validation Accuracy: 0.923, Loss: 0.044
Epoch 2 Batch 219/538 - Train Accuracy: 0.920, Validation Accuracy: 0.925, Loss: 0.059
Epoch 2 Batch 220/538 - Train Accuracy: 0.925, Validation Accuracy: 0.928, Loss: 0.052
Epoch 2 Batch 221/538 - Train Accuracy: 0.949, Validation Accuracy: 0.934, Loss: 0.047
Epoch 2 Batch 222/538 - Train Accuracy: 0.918, Validation Accuracy: 0.930, Loss: 0.044
Epoch 2 Batch 223/538 - Train Accuracy: 0.925, Validation Accuracy: 0.918, Loss: 0.050
Epoch 2 Batch 224/538 - Train Accuracy: 0.946, Validation Accuracy: 0.923, Loss: 0.054
Epoch 2 Batch 225/538 - Train Accuracy: 0.941, Validation Accuracy: 0.922, Loss: 0.052
Epoch 2 Batch 226/538 - Train Accuracy: 0.931, Validation Accuracy: 0.928, Loss: 0.050
Epoch 2 Batch 227/538 - Train Accuracy: 0.955, Validation Accuracy: 0.941, Loss: 0.044
Epoch 2 Batch 228/538 - Train Accuracy: 0.914, Validation Accuracy: 0.937, Loss: 0.051
Epoch 2 Batch 229/538 - Train Accuracy: 0.946, Validation Accuracy: 0.933, Loss: 0.051
Epoch 2 Batch 230/538 - Train Accuracy: 0.929, Validation Accuracy: 0.926, Loss: 0.049
Epoch 2 Batch 231/538 - Train Accuracy: 0.942, Validation Accuracy: 0.921, Loss: 0.045
Epoch 2 Batch 232/538 - Train Accuracy: 0.924, Validation Accuracy: 0.924, Loss: 0.055
Epoch 2 Batch 233/538 - Train Accuracy: 0.949, Validation Accuracy: 0.925, Loss: 0.050
Epoch 2 Batch 234/538 - Train Accuracy: 0.939, Validation Accuracy: 0.935, Loss: 0.046
Epoch 2 Batch 235/538 - Train Accuracy: 0.948, Validation Accuracy: 0.939, Loss: 0.038
Epoch 2 Batch 236/538 - Train Accuracy: 0.929, Validation Accuracy: 0.932, Loss: 0.049
Epoch 2 Batch 237/538 - Train Accuracy: 0.908, Validation Accuracy: 0.935, Loss: 0.041
Epoch 2 Batch 238/538 - Train Accuracy: 0.936, Validation Accuracy: 0.935, Loss: 0.046
Epoch 2 Batch 239/538 - Train Accuracy: 0.929, Validation Accuracy: 0.938, Loss: 0.050
Epoch 2 Batch 240/538 - Train Accuracy: 0.946, Validation Accuracy: 0.937, Loss: 0.048
Epoch 2 Batch 241/538 - Train Accuracy: 0.921, Validation Accuracy: 0.941, Loss: 0.054
Epoch 2 Batch 242/538 - Train Accuracy: 0.952, Validation Accuracy: 0.942, Loss: 0.045
Epoch 2 Batch 243/538 - Train Accuracy: 0.953, Validation Accuracy: 0.932, Loss: 0.046
Epoch 2 Batch 244/538 - Train Accuracy: 0.932, Validation Accuracy: 0.921, Loss: 0.045
Epoch 2 Batch 245/538 - Train Accuracy: 0.938, Validation Accuracy: 0.916, Loss: 0.052
Epoch 2 Batch 246/538 - Train Accuracy: 0.934, Validation Accuracy: 0.913, Loss: 0.038
Epoch 2 Batch 247/538 - Train Accuracy: 0.908, Validation Accuracy: 0.918, Loss: 0.046
Epoch 2 Batch 248/538 - Train Accuracy: 0.948, Validation Accuracy: 0.929, Loss: 0.051
Epoch 2 Batch 249/538 - Train Accuracy: 0.939, Validation Accuracy: 0.928, Loss: 0.039
Epoch 2 Batch 250/538 - Train Accuracy: 0.936, Validation Accuracy: 0.930, Loss: 0.048
Epoch 2 Batch 251/538 - Train Accuracy: 0.945, Validation Accuracy: 0.928, Loss: 0.044
Epoch 2 Batch 252/538 - Train Accuracy: 0.951, Validation Accuracy: 0.931, Loss: 0.042
Epoch 2 Batch 253/538 - Train Accuracy: 0.927, Validation Accuracy: 0.938, Loss: 0.044
Epoch 2 Batch 254/538 - Train Accuracy: 0.922, Validation Accuracy: 0.938, Loss: 0.051
Epoch 2 Batch 255/538 - Train Accuracy: 0.951, Validation Accuracy: 0.933, Loss: 0.041
Epoch 2 Batch 256/538 - Train Accuracy: 0.935, Validation Accuracy: 0.930, Loss: 0.048
Epoch 2 Batch 257/538 - Train Accuracy: 0.931, Validation Accuracy: 0.928, Loss: 0.048
Epoch 2 Batch 258/538 - Train Accuracy: 0.938, Validation Accuracy: 0.923, Loss: 0.044
Epoch 2 Batch 259/538 - Train Accuracy: 0.959, Validation Accuracy: 0.919, Loss: 0.045
Epoch 2 Batch 260/538 - Train Accuracy: 0.918, Validation Accuracy: 0.923, Loss: 0.051
Epoch 2 Batch 261/538 - Train Accuracy: 0.940, Validation Accuracy: 0.921, Loss: 0.047
Epoch 2 Batch 262/538 - Train Accuracy: 0.950, Validation Accuracy: 0.926, Loss: 0.044
Epoch 2 Batch 263/538 - Train Accuracy: 0.930, Validation Accuracy: 0.934, Loss: 0.045
Epoch 2 Batch 264/538 - Train Accuracy: 0.932, Validation Accuracy: 0.926, Loss: 0.049
Epoch 2 Batch 265/538 - Train Accuracy: 0.915, Validation Accuracy: 0.924, Loss: 0.057
Epoch 2 Batch 266/538 - Train Accuracy: 0.929, Validation Accuracy: 0.930, Loss: 0.049
Epoch 2 Batch 267/538 - Train Accuracy: 0.923, Validation Accuracy: 0.933, Loss: 0.047
Epoch 2 Batch 268/538 - Train Accuracy: 0.957, Validation Accuracy: 0.926, Loss: 0.036
Epoch 2 Batch 269/538 - Train Accuracy: 0.940, Validation Accuracy: 0.919, Loss: 0.046
Epoch 2 Batch 270/538 - Train Accuracy: 0.938, Validation Accuracy: 0.926, Loss: 0.042
Epoch 2 Batch 271/538 - Train Accuracy: 0.938, Validation Accuracy: 0.924, Loss: 0.038
Epoch 2 Batch 272/538 - Train Accuracy: 0.947, Validation Accuracy: 0.920, Loss: 0.055
Epoch 2 Batch 273/538 - Train Accuracy: 0.928, Validation Accuracy: 0.923, Loss: 0.051
Epoch 2 Batch 274/538 - Train Accuracy: 0.917, Validation Accuracy: 0.928, Loss: 0.051
Epoch 2 Batch 275/538 - Train Accuracy: 0.944, Validation Accuracy: 0.928, Loss: 0.050
Epoch 2 Batch 276/538 - Train Accuracy: 0.917, Validation Accuracy: 0.931, Loss: 0.051
Epoch 2 Batch 277/538 - Train Accuracy: 0.931, Validation Accuracy: 0.937, Loss: 0.041
Epoch 2 Batch 278/538 - Train Accuracy: 0.937, Validation Accuracy: 0.942, Loss: 0.045
Epoch 2 Batch 279/538 - Train Accuracy: 0.937, Validation Accuracy: 0.945, Loss: 0.041
Epoch 2 Batch 280/538 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.039
Epoch 2 Batch 281/538 - Train Accuracy: 0.947, Validation Accuracy: 0.939, Loss: 0.052
Epoch 2 Batch 282/538 - Train Accuracy: 0.939, Validation Accuracy: 0.937, Loss: 0.049
Epoch 2 Batch 283/538 - Train Accuracy: 0.948, Validation Accuracy: 0.939, Loss: 0.047
Epoch 2 Batch 284/538 - Train Accuracy: 0.934, Validation Accuracy: 0.932, Loss: 0.050
Epoch 2 Batch 285/538 - Train Accuracy: 0.932, Validation Accuracy: 0.931, Loss: 0.043
Epoch 2 Batch 286/538 - Train Accuracy: 0.940, Validation Accuracy: 0.933, Loss: 0.054
Epoch 2 Batch 287/538 - Train Accuracy: 0.949, Validation Accuracy: 0.935, Loss: 0.038
Epoch 2 Batch 288/538 - Train Accuracy: 0.953, Validation Accuracy: 0.936, Loss: 0.042
Epoch 2 Batch 289/538 - Train Accuracy: 0.944, Validation Accuracy: 0.939, Loss: 0.040
Epoch 2 Batch 290/538 - Train Accuracy: 0.958, Validation Accuracy: 0.940, Loss: 0.038
Epoch 2 Batch 291/538 - Train Accuracy: 0.948, Validation Accuracy: 0.941, Loss: 0.042
Epoch 2 Batch 292/538 - Train Accuracy: 0.946, Validation Accuracy: 0.945, Loss: 0.035
Epoch 2 Batch 293/538 - Train Accuracy: 0.943, Validation Accuracy: 0.947, Loss: 0.045
Epoch 2 Batch 294/538 - Train Accuracy: 0.934, Validation Accuracy: 0.944, Loss: 0.043
Epoch 2 Batch 295/538 - Train Accuracy: 0.946, Validation Accuracy: 0.944, Loss: 0.041
Epoch 2 Batch 296/538 - Train Accuracy: 0.930, Validation Accuracy: 0.944, Loss: 0.053
Epoch 2 Batch 297/538 - Train Accuracy: 0.953, Validation Accuracy: 0.939, Loss: 0.044
Epoch 2 Batch 298/538 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.044
Epoch 2 Batch 299/538 - Train Accuracy: 0.928, Validation Accuracy: 0.934, Loss: 0.053
Epoch 2 Batch 300/538 - Train Accuracy: 0.934, Validation Accuracy: 0.935, Loss: 0.048
Epoch 2 Batch 301/538 - Train Accuracy: 0.939, Validation Accuracy: 0.930, Loss: 0.042
Epoch 2 Batch 302/538 - Train Accuracy: 0.959, Validation Accuracy: 0.932, Loss: 0.043
Epoch 2 Batch 303/538 - Train Accuracy: 0.953, Validation Accuracy: 0.932, Loss: 0.046
Epoch 2 Batch 304/538 - Train Accuracy: 0.953, Validation Accuracy: 0.936, Loss: 0.046
Epoch 2 Batch 305/538 - Train Accuracy: 0.944, Validation Accuracy: 0.936, Loss: 0.041
Epoch 2 Batch 306/538 - Train Accuracy: 0.938, Validation Accuracy: 0.939, Loss: 0.044
Epoch 2 Batch 307/538 - Train Accuracy: 0.957, Validation Accuracy: 0.944, Loss: 0.041
Epoch 2 Batch 308/538 - Train Accuracy: 0.948, Validation Accuracy: 0.947, Loss: 0.044
Epoch 2 Batch 309/538 - Train Accuracy: 0.950, Validation Accuracy: 0.939, Loss: 0.035
Epoch 2 Batch 310/538 - Train Accuracy: 0.950, Validation Accuracy: 0.942, Loss: 0.045
Epoch 2 Batch 311/538 - Train Accuracy: 0.927, Validation Accuracy: 0.935, Loss: 0.049
Epoch 2 Batch 312/538 - Train Accuracy: 0.939, Validation Accuracy: 0.937, Loss: 0.039
Epoch 2 Batch 313/538 - Train Accuracy: 0.925, Validation Accuracy: 0.939, Loss: 0.044
Epoch 2 Batch 314/538 - Train Accuracy: 0.948, Validation Accuracy: 0.946, Loss: 0.042
Epoch 2 Batch 315/538 - Train Accuracy: 0.939, Validation Accuracy: 0.946, Loss: 0.039
Epoch 2 Batch 316/538 - Train Accuracy: 0.927, Validation Accuracy: 0.947, Loss: 0.038
Epoch 2 Batch 317/538 - Train Accuracy: 0.948, Validation Accuracy: 0.950, Loss: 0.042
Epoch 2 Batch 318/538 - Train Accuracy: 0.937, Validation Accuracy: 0.950, Loss: 0.041
Epoch 2 Batch 319/538 - Train Accuracy: 0.953, Validation Accuracy: 0.948, Loss: 0.049
Epoch 2 Batch 320/538 - Train Accuracy: 0.940, Validation Accuracy: 0.942, Loss: 0.038
Epoch 2 Batch 321/538 - Train Accuracy: 0.917, Validation Accuracy: 0.953, Loss: 0.040
Epoch 2 Batch 322/538 - Train Accuracy: 0.941, Validation Accuracy: 0.958, Loss: 0.046
Epoch 2 Batch 323/538 - Train Accuracy: 0.953, Validation Accuracy: 0.953, Loss: 0.038
Epoch 2 Batch 324/538 - Train Accuracy: 0.949, Validation Accuracy: 0.957, Loss: 0.043
Epoch 2 Batch 325/538 - Train Accuracy: 0.950, Validation Accuracy: 0.952, Loss: 0.044
Epoch 2 Batch 326/538 - Train Accuracy: 0.948, Validation Accuracy: 0.942, Loss: 0.040
Epoch 2 Batch 327/538 - Train Accuracy: 0.935, Validation Accuracy: 0.941, Loss: 0.045
Epoch 2 Batch 328/538 - Train Accuracy: 0.956, Validation Accuracy: 0.939, Loss: 0.037
Epoch 2 Batch 329/538 - Train Accuracy: 0.946, Validation Accuracy: 0.942, Loss: 0.043
Epoch 2 Batch 330/538 - Train Accuracy: 0.956, Validation Accuracy: 0.939, Loss: 0.040
Epoch 2 Batch 331/538 - Train Accuracy: 0.957, Validation Accuracy: 0.936, Loss: 0.036
Epoch 2 Batch 332/538 - Train Accuracy: 0.938, Validation Accuracy: 0.936, Loss: 0.037
Epoch 2 Batch 333/538 - Train Accuracy: 0.954, Validation Accuracy: 0.936, Loss: 0.043
Epoch 2 Batch 334/538 - Train Accuracy: 0.941, Validation Accuracy: 0.941, Loss: 0.035
Epoch 2 Batch 335/538 - Train Accuracy: 0.944, Validation Accuracy: 0.942, Loss: 0.039
Epoch 2 Batch 336/538 - Train Accuracy: 0.947, Validation Accuracy: 0.942, Loss: 0.041
Epoch 2 Batch 337/538 - Train Accuracy: 0.946, Validation Accuracy: 0.941, Loss: 0.040
Epoch 2 Batch 338/538 - Train Accuracy: 0.940, Validation Accuracy: 0.935, Loss: 0.043
Epoch 2 Batch 339/538 - Train Accuracy: 0.937, Validation Accuracy: 0.932, Loss: 0.040
Epoch 2 Batch 340/538 - Train Accuracy: 0.945, Validation Accuracy: 0.937, Loss: 0.044
Epoch 2 Batch 341/538 - Train Accuracy: 0.957, Validation Accuracy: 0.935, Loss: 0.033
Epoch 2 Batch 342/538 - Train Accuracy: 0.934, Validation Accuracy: 0.936, Loss: 0.038
Epoch 2 Batch 343/538 - Train Accuracy: 0.954, Validation Accuracy: 0.940, Loss: 0.040
Epoch 2 Batch 344/538 - Train Accuracy: 0.948, Validation Accuracy: 0.944, Loss: 0.035
Epoch 2 Batch 345/538 - Train Accuracy: 0.944, Validation Accuracy: 0.948, Loss: 0.038
Epoch 2 Batch 346/538 - Train Accuracy: 0.924, Validation Accuracy: 0.935, Loss: 0.054
Epoch 2 Batch 347/538 - Train Accuracy: 0.941, Validation Accuracy: 0.928, Loss: 0.038
Epoch 2 Batch 348/538 - Train Accuracy: 0.941, Validation Accuracy: 0.933, Loss: 0.032
Epoch 2 Batch 349/538 - Train Accuracy: 0.966, Validation Accuracy: 0.940, Loss: 0.032
Epoch 2 Batch 350/538 - Train Accuracy: 0.946, Validation Accuracy: 0.949, Loss: 0.044
Epoch 2 Batch 351/538 - Train Accuracy: 0.947, Validation Accuracy: 0.947, Loss: 0.045
Epoch 2 Batch 352/538 - Train Accuracy: 0.924, Validation Accuracy: 0.945, Loss: 0.056
Epoch 2 Batch 353/538 - Train Accuracy: 0.914, Validation Accuracy: 0.948, Loss: 0.042
Epoch 2 Batch 354/538 - Train Accuracy: 0.936, Validation Accuracy: 0.947, Loss: 0.043
Epoch 2 Batch 355/538 - Train Accuracy: 0.948, Validation Accuracy: 0.953, Loss: 0.043
Epoch 2 Batch 356/538 - Train Accuracy: 0.954, Validation Accuracy: 0.950, Loss: 0.032
Epoch 2 Batch 357/538 - Train Accuracy: 0.949, Validation Accuracy: 0.946, Loss: 0.033
Epoch 2 Batch 358/538 - Train Accuracy: 0.950, Validation Accuracy: 0.947, Loss: 0.033
Epoch 2 Batch 359/538 - Train Accuracy: 0.939, Validation Accuracy: 0.951, Loss: 0.041
Epoch 2 Batch 360/538 - Train Accuracy: 0.945, Validation Accuracy: 0.952, Loss: 0.036
Epoch 2 Batch 361/538 - Train Accuracy: 0.964, Validation Accuracy: 0.948, Loss: 0.042
Epoch 2 Batch 362/538 - Train Accuracy: 0.954, Validation Accuracy: 0.945, Loss: 0.035
Epoch 2 Batch 363/538 - Train Accuracy: 0.951, Validation Accuracy: 0.944, Loss: 0.039
Epoch 2 Batch 364/538 - Train Accuracy: 0.938, Validation Accuracy: 0.935, Loss: 0.046
Epoch 2 Batch 365/538 - Train Accuracy: 0.924, Validation Accuracy: 0.938, Loss: 0.041
Epoch 2 Batch 366/538 - Train Accuracy: 0.944, Validation Accuracy: 0.945, Loss: 0.044
Epoch 2 Batch 367/538 - Train Accuracy: 0.960, Validation Accuracy: 0.944, Loss: 0.039
Epoch 2 Batch 368/538 - Train Accuracy: 0.940, Validation Accuracy: 0.948, Loss: 0.038
Epoch 2 Batch 369/538 - Train Accuracy: 0.944, Validation Accuracy: 0.949, Loss: 0.036
Epoch 2 Batch 370/538 - Train Accuracy: 0.955, Validation Accuracy: 0.955, Loss: 0.038
Epoch 2 Batch 371/538 - Train Accuracy: 0.959, Validation Accuracy: 0.947, Loss: 0.037
Epoch 2 Batch 372/538 - Train Accuracy: 0.961, Validation Accuracy: 0.947, Loss: 0.042
Epoch 2 Batch 373/538 - Train Accuracy: 0.940, Validation Accuracy: 0.948, Loss: 0.033
Epoch 2 Batch 374/538 - Train Accuracy: 0.952, Validation Accuracy: 0.945, Loss: 0.036
Epoch 2 Batch 375/538 - Train Accuracy: 0.962, Validation Accuracy: 0.950, Loss: 0.035
Epoch 2 Batch 376/538 - Train Accuracy: 0.942, Validation Accuracy: 0.950, Loss: 0.039
Epoch 2 Batch 377/538 - Train Accuracy: 0.952, Validation Accuracy: 0.942, Loss: 0.041
Epoch 2 Batch 378/538 - Train Accuracy: 0.949, Validation Accuracy: 0.939, Loss: 0.031
Epoch 2 Batch 379/538 - Train Accuracy: 0.956, Validation Accuracy: 0.938, Loss: 0.037
Epoch 2 Batch 380/538 - Train Accuracy: 0.947, Validation Accuracy: 0.941, Loss: 0.032
Epoch 2 Batch 381/538 - Train Accuracy: 0.945, Validation Accuracy: 0.939, Loss: 0.037
Epoch 2 Batch 382/538 - Train Accuracy: 0.931, Validation Accuracy: 0.946, Loss: 0.042
Epoch 2 Batch 383/538 - Train Accuracy: 0.951, Validation Accuracy: 0.946, Loss: 0.041
Epoch 2 Batch 384/538 - Train Accuracy: 0.938, Validation Accuracy: 0.944, Loss: 0.039
Epoch 2 Batch 385/538 - Train Accuracy: 0.955, Validation Accuracy: 0.943, Loss: 0.037
Epoch 2 Batch 386/538 - Train Accuracy: 0.956, Validation Accuracy: 0.948, Loss: 0.043
Epoch 2 Batch 387/538 - Train Accuracy: 0.946, Validation Accuracy: 0.944, Loss: 0.037
Epoch 2 Batch 388/538 - Train Accuracy: 0.949, Validation Accuracy: 0.944, Loss: 0.039
Epoch 2 Batch 389/538 - Train Accuracy: 0.923, Validation Accuracy: 0.942, Loss: 0.049
Epoch 2 Batch 390/538 - Train Accuracy: 0.937, Validation Accuracy: 0.947, Loss: 0.037
Epoch 2 Batch 391/538 - Train Accuracy: 0.937, Validation Accuracy: 0.952, Loss: 0.037
Epoch 2 Batch 392/538 - Train Accuracy: 0.942, Validation Accuracy: 0.947, Loss: 0.040
Epoch 2 Batch 393/538 - Train Accuracy: 0.947, Validation Accuracy: 0.942, Loss: 0.035
Epoch 2 Batch 394/538 - Train Accuracy: 0.921, Validation Accuracy: 0.946, Loss: 0.044
Epoch 2 Batch 395/538 - Train Accuracy: 0.954, Validation Accuracy: 0.942, Loss: 0.044
Epoch 2 Batch 396/538 - Train Accuracy: 0.933, Validation Accuracy: 0.945, Loss: 0.036
Epoch 2 Batch 397/538 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.041
Epoch 2 Batch 398/538 - Train Accuracy: 0.953, Validation Accuracy: 0.923, Loss: 0.034
Epoch 2 Batch 399/538 - Train Accuracy: 0.936, Validation Accuracy: 0.929, Loss: 0.043
Epoch 2 Batch 400/538 - Train Accuracy: 0.960, Validation Accuracy: 0.936, Loss: 0.037
Epoch 2 Batch 401/538 - Train Accuracy: 0.960, Validation Accuracy: 0.933, Loss: 0.034
Epoch 2 Batch 402/538 - Train Accuracy: 0.943, Validation Accuracy: 0.936, Loss: 0.035
Epoch 2 Batch 403/538 - Train Accuracy: 0.946, Validation Accuracy: 0.934, Loss: 0.042
Epoch 2 Batch 404/538 - Train Accuracy: 0.936, Validation Accuracy: 0.939, Loss: 0.040
Epoch 2 Batch 405/538 - Train Accuracy: 0.942, Validation Accuracy: 0.942, Loss: 0.035
Epoch 2 Batch 406/538 - Train Accuracy: 0.937, Validation Accuracy: 0.932, Loss: 0.041
Epoch 2 Batch 407/538 - Train Accuracy: 0.959, Validation Accuracy: 0.934, Loss: 0.043
Epoch 2 Batch 408/538 - Train Accuracy: 0.941, Validation Accuracy: 0.939, Loss: 0.044
Epoch 2 Batch 409/538 - Train Accuracy: 0.939, Validation Accuracy: 0.934, Loss: 0.039
Epoch 2 Batch 410/538 - Train Accuracy: 0.954, Validation Accuracy: 0.930, Loss: 0.038
Epoch 2 Batch 411/538 - Train Accuracy: 0.962, Validation Accuracy: 0.935, Loss: 0.040
Epoch 2 Batch 412/538 - Train Accuracy: 0.951, Validation Accuracy: 0.934, Loss: 0.033
Epoch 2 Batch 413/538 - Train Accuracy: 0.948, Validation Accuracy: 0.934, Loss: 0.038
Epoch 2 Batch 414/538 - Train Accuracy: 0.922, Validation Accuracy: 0.931, Loss: 0.051
Epoch 2 Batch 415/538 - Train Accuracy: 0.929, Validation Accuracy: 0.928, Loss: 0.037
Epoch 2 Batch 416/538 - Train Accuracy: 0.941, Validation Accuracy: 0.928, Loss: 0.039
Epoch 2 Batch 417/538 - Train Accuracy: 0.959, Validation Accuracy: 0.933, Loss: 0.037
Epoch 2 Batch 418/538 - Train Accuracy: 0.951, Validation Accuracy: 0.940, Loss: 0.044
Epoch 2 Batch 419/538 - Train Accuracy: 0.960, Validation Accuracy: 0.942, Loss: 0.032
Epoch 2 Batch 420/538 - Train Accuracy: 0.957, Validation Accuracy: 0.927, Loss: 0.039
Epoch 2 Batch 421/538 - Train Accuracy: 0.959, Validation Accuracy: 0.928, Loss: 0.034
Epoch 2 Batch 422/538 - Train Accuracy: 0.937, Validation Accuracy: 0.931, Loss: 0.040
Epoch 2 Batch 423/538 - Train Accuracy: 0.951, Validation Accuracy: 0.935, Loss: 0.042
Epoch 2 Batch 424/538 - Train Accuracy: 0.948, Validation Accuracy: 0.939, Loss: 0.046
Epoch 2 Batch 425/538 - Train Accuracy: 0.942, Validation Accuracy: 0.945, Loss: 0.050
Epoch 2 Batch 426/538 - Train Accuracy: 0.943, Validation Accuracy: 0.946, Loss: 0.038
Epoch 2 Batch 427/538 - Train Accuracy: 0.921, Validation Accuracy: 0.933, Loss: 0.043
Epoch 2 Batch 428/538 - Train Accuracy: 0.958, Validation Accuracy: 0.934, Loss: 0.031
Epoch 2 Batch 429/538 - Train Accuracy: 0.957, Validation Accuracy: 0.936, Loss: 0.038
Epoch 2 Batch 430/538 - Train Accuracy: 0.936, Validation Accuracy: 0.940, Loss: 0.038
Epoch 2 Batch 431/538 - Train Accuracy: 0.958, Validation Accuracy: 0.946, Loss: 0.037
Epoch 2 Batch 432/538 - Train Accuracy: 0.934, Validation Accuracy: 0.949, Loss: 0.042
Epoch 2 Batch 433/538 - Train Accuracy: 0.943, Validation Accuracy: 0.947, Loss: 0.059
Epoch 2 Batch 434/538 - Train Accuracy: 0.938, Validation Accuracy: 0.943, Loss: 0.039
Epoch 2 Batch 435/538 - Train Accuracy: 0.945, Validation Accuracy: 0.949, Loss: 0.036
Epoch 2 Batch 436/538 - Train Accuracy: 0.945, Validation Accuracy: 0.950, Loss: 0.043
Epoch 2 Batch 437/538 - Train Accuracy: 0.951, Validation Accuracy: 0.946, Loss: 0.039
Epoch 2 Batch 438/538 - Train Accuracy: 0.956, Validation Accuracy: 0.949, Loss: 0.032
Epoch 2 Batch 439/538 - Train Accuracy: 0.950, Validation Accuracy: 0.952, Loss: 0.040
Epoch 2 Batch 440/538 - Train Accuracy: 0.938, Validation Accuracy: 0.947, Loss: 0.041
Epoch 2 Batch 441/538 - Train Accuracy: 0.935, Validation Accuracy: 0.949, Loss: 0.045
Epoch 2 Batch 442/538 - Train Accuracy: 0.960, Validation Accuracy: 0.938, Loss: 0.030
Epoch 2 Batch 443/538 - Train Accuracy: 0.946, Validation Accuracy: 0.935, Loss: 0.037
Epoch 2 Batch 444/538 - Train Accuracy: 0.944, Validation Accuracy: 0.930, Loss: 0.038
Epoch 2 Batch 445/538 - Train Accuracy: 0.964, Validation Accuracy: 0.930, Loss: 0.035
Epoch 2 Batch 446/538 - Train Accuracy: 0.954, Validation Accuracy: 0.941, Loss: 0.035
Epoch 2 Batch 447/538 - Train Accuracy: 0.922, Validation Accuracy: 0.935, Loss: 0.044
Epoch 2 Batch 448/538 - Train Accuracy: 0.953, Validation Accuracy: 0.936, Loss: 0.033
Epoch 2 Batch 449/538 - Train Accuracy: 0.959, Validation Accuracy: 0.940, Loss: 0.040
Epoch 2 Batch 450/538 - Train Accuracy: 0.924, Validation Accuracy: 0.939, Loss: 0.047
Epoch 2 Batch 451/538 - Train Accuracy: 0.927, Validation Accuracy: 0.935, Loss: 0.037
Epoch 2 Batch 452/538 - Train Accuracy: 0.940, Validation Accuracy: 0.935, Loss: 0.033
Epoch 2 Batch 453/538 - Train Accuracy: 0.946, Validation Accuracy: 0.939, Loss: 0.043
Epoch 2 Batch 454/538 - Train Accuracy: 0.945, Validation Accuracy: 0.946, Loss: 0.048
Epoch 2 Batch 455/538 - Train Accuracy: 0.953, Validation Accuracy: 0.940, Loss: 0.044
Epoch 2 Batch 456/538 - Train Accuracy: 0.949, Validation Accuracy: 0.946, Loss: 0.052
Epoch 2 Batch 457/538 - Train Accuracy: 0.940, Validation Accuracy: 0.947, Loss: 0.037
Epoch 2 Batch 458/538 - Train Accuracy: 0.938, Validation Accuracy: 0.948, Loss: 0.039
Epoch 2 Batch 459/538 - Train Accuracy: 0.952, Validation Accuracy: 0.947, Loss: 0.035
Epoch 2 Batch 460/538 - Train Accuracy: 0.916, Validation Accuracy: 0.945, Loss: 0.046
Epoch 2 Batch 461/538 - Train Accuracy: 0.949, Validation Accuracy: 0.953, Loss: 0.038
Epoch 2 Batch 462/538 - Train Accuracy: 0.952, Validation Accuracy: 0.950, Loss: 0.034
Epoch 2 Batch 463/538 - Train Accuracy: 0.928, Validation Accuracy: 0.944, Loss: 0.042
Epoch 2 Batch 464/538 - Train Accuracy: 0.941, Validation Accuracy: 0.937, Loss: 0.035
Epoch 2 Batch 465/538 - Train Accuracy: 0.938, Validation Accuracy: 0.941, Loss: 0.041
Epoch 2 Batch 466/538 - Train Accuracy: 0.942, Validation Accuracy: 0.937, Loss: 0.036
Epoch 2 Batch 467/538 - Train Accuracy: 0.956, Validation Accuracy: 0.933, Loss: 0.040
Epoch 2 Batch 468/538 - Train Accuracy: 0.960, Validation Accuracy: 0.934, Loss: 0.042
Epoch 2 Batch 469/538 - Train Accuracy: 0.939, Validation Accuracy: 0.949, Loss: 0.040
Epoch 2 Batch 470/538 - Train Accuracy: 0.945, Validation Accuracy: 0.950, Loss: 0.037
Epoch 2 Batch 471/538 - Train Accuracy: 0.957, Validation Accuracy: 0.947, Loss: 0.034
Epoch 2 Batch 472/538 - Train Accuracy: 0.984, Validation Accuracy: 0.947, Loss: 0.026
Epoch 2 Batch 473/538 - Train Accuracy: 0.944, Validation Accuracy: 0.953, Loss: 0.036
Epoch 2 Batch 474/538 - Train Accuracy: 0.964, Validation Accuracy: 0.949, Loss: 0.033
Epoch 2 Batch 475/538 - Train Accuracy: 0.948, Validation Accuracy: 0.948, Loss: 0.035
Epoch 2 Batch 476/538 - Train Accuracy: 0.954, Validation Accuracy: 0.948, Loss: 0.032
Epoch 2 Batch 477/538 - Train Accuracy: 0.949, Validation Accuracy: 0.948, Loss: 0.041
Epoch 2 Batch 478/538 - Train Accuracy: 0.956, Validation Accuracy: 0.949, Loss: 0.030
Epoch 2 Batch 479/538 - Train Accuracy: 0.956, Validation Accuracy: 0.949, Loss: 0.035
Epoch 2 Batch 480/538 - Train Accuracy: 0.954, Validation Accuracy: 0.945, Loss: 0.033
Epoch 2 Batch 481/538 - Train Accuracy: 0.962, Validation Accuracy: 0.946, Loss: 0.039
Epoch 2 Batch 482/538 - Train Accuracy: 0.937, Validation Accuracy: 0.947, Loss: 0.033
Epoch 2 Batch 483/538 - Train Accuracy: 0.939, Validation Accuracy: 0.949, Loss: 0.036
Epoch 2 Batch 484/538 - Train Accuracy: 0.951, Validation Accuracy: 0.948, Loss: 0.040
Epoch 2 Batch 485/538 - Train Accuracy: 0.954, Validation Accuracy: 0.950, Loss: 0.038
Epoch 2 Batch 486/538 - Train Accuracy: 0.951, Validation Accuracy: 0.944, Loss: 0.029
Epoch 2 Batch 487/538 - Train Accuracy: 0.956, Validation Accuracy: 0.941, Loss: 0.033
Epoch 2 Batch 488/538 - Train Accuracy: 0.956, Validation Accuracy: 0.941, Loss: 0.028
Epoch 2 Batch 489/538 - Train Accuracy: 0.940, Validation Accuracy: 0.944, Loss: 0.036
Epoch 2 Batch 490/538 - Train Accuracy: 0.941, Validation Accuracy: 0.941, Loss: 0.040
Epoch 2 Batch 491/538 - Train Accuracy: 0.931, Validation Accuracy: 0.946, Loss: 0.040
Epoch 2 Batch 492/538 - Train Accuracy: 0.959, Validation Accuracy: 0.954, Loss: 0.031
Epoch 2 Batch 493/538 - Train Accuracy: 0.932, Validation Accuracy: 0.953, Loss: 0.036
Epoch 2 Batch 494/538 - Train Accuracy: 0.962, Validation Accuracy: 0.947, Loss: 0.036
Epoch 2 Batch 495/538 - Train Accuracy: 0.954, Validation Accuracy: 0.952, Loss: 0.038
Epoch 2 Batch 496/538 - Train Accuracy: 0.952, Validation Accuracy: 0.949, Loss: 0.030
Epoch 2 Batch 497/538 - Train Accuracy: 0.951, Validation Accuracy: 0.949, Loss: 0.034
Epoch 2 Batch 498/538 - Train Accuracy: 0.950, Validation Accuracy: 0.944, Loss: 0.032
Epoch 2 Batch 499/538 - Train Accuracy: 0.951, Validation Accuracy: 0.941, Loss: 0.039
Epoch 2 Batch 500/538 - Train Accuracy: 0.953, Validation Accuracy: 0.942, Loss: 0.026
Epoch 2 Batch 501/538 - Train Accuracy: 0.961, Validation Accuracy: 0.938, Loss: 0.036
Epoch 2 Batch 502/538 - Train Accuracy: 0.934, Validation Accuracy: 0.945, Loss: 0.032
Epoch 2 Batch 503/538 - Train Accuracy: 0.963, Validation Accuracy: 0.941, Loss: 0.038
Epoch 2 Batch 504/538 - Train Accuracy: 0.964, Validation Accuracy: 0.947, Loss: 0.028
Epoch 2 Batch 505/538 - Train Accuracy: 0.961, Validation Accuracy: 0.945, Loss: 0.028
Epoch 2 Batch 506/538 - Train Accuracy: 0.958, Validation Accuracy: 0.947, Loss: 0.029
Epoch 2 Batch 507/538 - Train Accuracy: 0.938, Validation Accuracy: 0.947, Loss: 0.036
Epoch 2 Batch 508/538 - Train Accuracy: 0.941, Validation Accuracy: 0.942, Loss: 0.035
Epoch 2 Batch 509/538 - Train Accuracy: 0.952, Validation Accuracy: 0.942, Loss: 0.034
Epoch 2 Batch 510/538 - Train Accuracy: 0.953, Validation Accuracy: 0.937, Loss: 0.036
Epoch 2 Batch 511/538 - Train Accuracy: 0.940, Validation Accuracy: 0.947, Loss: 0.042
Epoch 2 Batch 512/538 - Train Accuracy: 0.959, Validation Accuracy: 0.944, Loss: 0.038
Epoch 2 Batch 513/538 - Train Accuracy: 0.931, Validation Accuracy: 0.948, Loss: 0.038
Epoch 2 Batch 514/538 - Train Accuracy: 0.950, Validation Accuracy: 0.955, Loss: 0.040
Epoch 2 Batch 515/538 - Train Accuracy: 0.945, Validation Accuracy: 0.952, Loss: 0.042
Epoch 2 Batch 516/538 - Train Accuracy: 0.944, Validation Accuracy: 0.956, Loss: 0.035
Epoch 2 Batch 517/538 - Train Accuracy: 0.949, Validation Accuracy: 0.957, Loss: 0.032
Epoch 2 Batch 518/538 - Train Accuracy: 0.946, Validation Accuracy: 0.955, Loss: 0.040
Epoch 2 Batch 519/538 - Train Accuracy: 0.963, Validation Accuracy: 0.955, Loss: 0.034
Epoch 2 Batch 520/538 - Train Accuracy: 0.955, Validation Accuracy: 0.954, Loss: 0.035
Epoch 2 Batch 521/538 - Train Accuracy: 0.947, Validation Accuracy: 0.957, Loss: 0.041
Epoch 2 Batch 522/538 - Train Accuracy: 0.950, Validation Accuracy: 0.962, Loss: 0.030
Epoch 2 Batch 523/538 - Train Accuracy: 0.957, Validation Accuracy: 0.954, Loss: 0.034
Epoch 2 Batch 524/538 - Train Accuracy: 0.947, Validation Accuracy: 0.953, Loss: 0.034
Epoch 2 Batch 525/538 - Train Accuracy: 0.949, Validation Accuracy: 0.951, Loss: 0.033
Epoch 2 Batch 526/538 - Train Accuracy: 0.947, Validation Accuracy: 0.952, Loss: 0.038
Epoch 2 Batch 527/538 - Train Accuracy: 0.947, Validation Accuracy: 0.949, Loss: 0.037
Epoch 2 Batch 528/538 - Train Accuracy: 0.951, Validation Accuracy: 0.950, Loss: 0.036
Epoch 2 Batch 529/538 - Train Accuracy: 0.944, Validation Accuracy: 0.956, Loss: 0.036
Epoch 2 Batch 530/538 - Train Accuracy: 0.945, Validation Accuracy: 0.958, Loss: 0.040
Epoch 2 Batch 531/538 - Train Accuracy: 0.942, Validation Accuracy: 0.964, Loss: 0.040
Epoch 2 Batch 532/538 - Train Accuracy: 0.940, Validation Accuracy: 0.955, Loss: 0.030
Epoch 2 Batch 533/538 - Train Accuracy: 0.953, Validation Accuracy: 0.960, Loss: 0.035
Epoch 2 Batch 534/538 - Train Accuracy: 0.953, Validation Accuracy: 0.958, Loss: 0.028
Epoch 2 Batch 535/538 - Train Accuracy: 0.961, Validation Accuracy: 0.954, Loss: 0.031
Epoch 2 Batch 536/538 - Train Accuracy: 0.944, Validation Accuracy: 0.952, Loss: 0.044
Model Trained and Saved
In [17]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
# Save parameters for checkpoint
helper.save_params(save_path)
In [18]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import tensorflow as tf
import numpy as np
import helper
import problem_unittests as tests
_, (source_vocab_to_int, target_vocab_to_int), (source_int_to_vocab, target_int_to_vocab) = helper.load_preprocess()
load_path = helper.load_params()
To feed a sentence into the model for translation, you first need to preprocess it. Implement the function sentence_to_seq() to preprocess new sentences.
vocab_to_int<UNK> word id.
In [19]:
def sentence_to_seq(sentence, vocab_to_int):
"""
Convert a sentence to a sequence of ids
:param sentence: String
:param vocab_to_int: Dictionary to go from the words to an id
:return: List of word ids
"""
unk_id = vocab_to_int['<UNK>']
input_sentence = [vocab_to_int.get(word, unk_id) for word in sentence.lower().split()]
return input_sentence
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_sentence_to_seq(sentence_to_seq)
Tests Passed
In [20]:
translate_sentence = 'he saw a old yellow truck .'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
translate_sentence = sentence_to_seq(translate_sentence, source_vocab_to_int)
loaded_graph = tf.Graph()
with tf.Session(graph=loaded_graph) as sess:
# Load saved model
loader = tf.train.import_meta_graph(load_path + '.meta')
loader.restore(sess, load_path)
input_data = loaded_graph.get_tensor_by_name('input:0')
logits = loaded_graph.get_tensor_by_name('logits:0')
keep_prob = loaded_graph.get_tensor_by_name('keep_prob:0')
translate_logits = sess.run(logits, {input_data: [translate_sentence], keep_prob: 1.0})[0]
print('Input')
print(' Word Ids: {}'.format([i for i in translate_sentence]))
print(' English Words: {}'.format([source_int_to_vocab[i] for i in translate_sentence]))
print('\nPrediction')
print(' Word Ids: {}'.format([i for i in np.argmax(translate_logits, 1)]))
print(' French Words: {}'.format([target_int_to_vocab[i] for i in np.argmax(translate_logits, 1)]))
Input
Word Ids: [162, 53, 15, 140, 72, 199, 139]
English Words: ['he', 'saw', 'a', 'old', 'yellow', 'truck', '.']
Prediction
Word Ids: [293, 97, 173, 250, 18, 110, 149, 1]
French Words: ['il', 'a', 'vu', 'un', 'camion', 'jaune', '.', '<EOS>']
You might notice that some sentences translate better than others. Since the dataset you're using only has a vocabulary of 227 English words of the thousands that you use, you're only going to see good results using these words. Additionally, the translations in this data set were made by Google translate, so the translations themselves aren't particularly good. (We apologize to the French speakers out there!) Thankfully, for this project, you don't need a perfect translation. However, if you want to create a better translation model, you'll need better data.
You can train on the WMT10 French-English corpus. This dataset has more vocabulary and richer in topics discussed. However, this will take you days to train, so make sure you've a GPU and the neural network is performing well on dataset we provided. Just make sure you play with the WMT10 corpus after you've submitted this project.
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_language_translation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.
Content source: broundy/udacity
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